CS304PC:Computer Organization and Architecture problem solution unit III.pdf
•
0 likes•31 views
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against developing mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Report
Share
Report
Share
Recommended
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
LIST OF EXPERIMENTS:
1. Implement simple vector addition in Tensor Flow.
2. Implement a regression model in Keras.
3. Implement a perception in TensorFlow/Keras Environment.
4. Implement a Feed Forward Network in TensorFlow/Keras.
5. Implement an image classifier using CNN in TensorFlow/Keras.
6. Improve the deep Learning model by fine tuning hyper parameters.
7. Implement a Transfer Learning concept in image classification.
8. Using a pre trained model on Keras for transfer learning.
9. Perform Sentimental Analysis using RNN.
10. Implement an LSTM based Auto encoding inTensorflow/Keras.
11. Image generation using GAN.
ADDITIONAL EXPERIMENTS
12. Train a deep Learning model to classify a given image using pre trained model.
13. Recommendation system from sales data using Deep Learning.
14. Implement Object detection using CNN.
15. Implement any simple Reinforcement Algorithm for an NLP problem.
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
UNIT III THIRD-GENERATION NEURAL NETWORKS
Spiking Neural Networks-Convolutional Neural Networks-Deep Learning Neural Networks-Extreme Learning Machine Model-Convolutional Neural Networks: The Convolution Operation – Motivation –Pooling – Variants of the basic Convolution Function – Structured Outputs – Data Types – Efficient
Convolution Algorithms – Neuroscientific Basis –Applications: Computer Vision, Image Generation, Image
Compression.
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
UNIT II ASSOCIATIVE MEMORY AND UNSUPERVISED LEARNING NETWORKS
Training Algorithms for Pattern Association-Autoassociative Memory Network-Heteroassociative Memory Network-Bidirectional Associative Memory (BAM)-Hopfield Networks-Iterative
Autoassociative Memory Networks-Temporal Associative Memory Network-Fixed Weight
Competitive Nets-Kohonen Self-Organizing Feature Maps-Learning Vector Quantization-Counter propagation Networks-Adaptive Resonance Theory Network.
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
UNIT I INTRODUCTION
Neural Networks-Application Scope of Neural Networks-Artificial Neural Network: An IntroductionEvolution of Neural Networks-Basic Models of Artificial Neural Network- Important Terminologies of
ANNs-Supervised Learning Network.IT8073_Information Security_UNIT I _.pdf
This document provides a detailed syllabus for an Information Security course. It includes 5 units: Introduction, Security Investigation, Security Analysis, Logical Design, and Physical Design. The Introduction unit covers the history of information security and computer security. It defines key concepts like confidentiality, integrity, availability, and the CIA triangle. It also discusses security models and the components of an information system. The other units will cover topics like risk management, access control, security standards, cryptography, and physical security controls.
IT8073 _Information Security _UNIT I Full notes
This document provides a detailed syllabus for an Information Security course. It covers 5 units:
1) Introduction - Provides a history of information security and an overview of key concepts like the CIA triangle of Confidentiality, Integrity and Availability.
2) Security Investigation - Covers the need for security, threats, attacks, and legal/ethical issues.
3) Security Analysis - Focuses on risk management, access controls, and information flow.
4) Logical Design - Addresses security policies, standards, security architecture design and planning continuity.
5) Physical Design - Covers security technologies, intrusion detection systems, cryptography, access controls, physical security and personnel security
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
Tuple assignment allows multiple variables to be assigned values from an iterable like a list or tuple in a single statement. This is more concise than separate assignments and avoids using a temporary variable. For example, to swap the values of variables a and b, tuple assignment can be used: a, b = b, a. The left side must contain the same number of variables as there are elements on the right, and each value is assigned to the corresponding variable from left to right. Tuple assignment is useful for unpacking elements like splitting a string into parts.
GE3151 PSPP UNIT III QUESTION BANK.docx.pdf
This document discusses control flow, functions, and recursion in Python. It begins by defining boolean expressions and explaining different types of operators like arithmetic, relational, logical, and assignment operators. It then covers conditional execution using if, else, and elif statements. Loops like while and for are explained along with break, continue, and pass statements. Functions are described as being able to return values. Finally, recursion is defined as a function calling itself, either directly or indirectly.
Recommended
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
LIST OF EXPERIMENTS:
1. Implement simple vector addition in Tensor Flow.
2. Implement a regression model in Keras.
3. Implement a perception in TensorFlow/Keras Environment.
4. Implement a Feed Forward Network in TensorFlow/Keras.
5. Implement an image classifier using CNN in TensorFlow/Keras.
6. Improve the deep Learning model by fine tuning hyper parameters.
7. Implement a Transfer Learning concept in image classification.
8. Using a pre trained model on Keras for transfer learning.
9. Perform Sentimental Analysis using RNN.
10. Implement an LSTM based Auto encoding inTensorflow/Keras.
11. Image generation using GAN.
ADDITIONAL EXPERIMENTS
12. Train a deep Learning model to classify a given image using pre trained model.
13. Recommendation system from sales data using Deep Learning.
14. Implement Object detection using CNN.
15. Implement any simple Reinforcement Algorithm for an NLP problem.
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
UNIT III THIRD-GENERATION NEURAL NETWORKS
Spiking Neural Networks-Convolutional Neural Networks-Deep Learning Neural Networks-Extreme Learning Machine Model-Convolutional Neural Networks: The Convolution Operation – Motivation –Pooling – Variants of the basic Convolution Function – Structured Outputs – Data Types – Efficient
Convolution Algorithms – Neuroscientific Basis –Applications: Computer Vision, Image Generation, Image
Compression.
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
UNIT II ASSOCIATIVE MEMORY AND UNSUPERVISED LEARNING NETWORKS
Training Algorithms for Pattern Association-Autoassociative Memory Network-Heteroassociative Memory Network-Bidirectional Associative Memory (BAM)-Hopfield Networks-Iterative
Autoassociative Memory Networks-Temporal Associative Memory Network-Fixed Weight
Competitive Nets-Kohonen Self-Organizing Feature Maps-Learning Vector Quantization-Counter propagation Networks-Adaptive Resonance Theory Network.
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
UNIT I INTRODUCTION
Neural Networks-Application Scope of Neural Networks-Artificial Neural Network: An IntroductionEvolution of Neural Networks-Basic Models of Artificial Neural Network- Important Terminologies of
ANNs-Supervised Learning Network.IT8073_Information Security_UNIT I _.pdf
This document provides a detailed syllabus for an Information Security course. It includes 5 units: Introduction, Security Investigation, Security Analysis, Logical Design, and Physical Design. The Introduction unit covers the history of information security and computer security. It defines key concepts like confidentiality, integrity, availability, and the CIA triangle. It also discusses security models and the components of an information system. The other units will cover topics like risk management, access control, security standards, cryptography, and physical security controls.
IT8073 _Information Security _UNIT I Full notes
This document provides a detailed syllabus for an Information Security course. It covers 5 units:
1) Introduction - Provides a history of information security and an overview of key concepts like the CIA triangle of Confidentiality, Integrity and Availability.
2) Security Investigation - Covers the need for security, threats, attacks, and legal/ethical issues.
3) Security Analysis - Focuses on risk management, access controls, and information flow.
4) Logical Design - Addresses security policies, standards, security architecture design and planning continuity.
5) Physical Design - Covers security technologies, intrusion detection systems, cryptography, access controls, physical security and personnel security
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
Tuple assignment allows multiple variables to be assigned values from an iterable like a list or tuple in a single statement. This is more concise than separate assignments and avoids using a temporary variable. For example, to swap the values of variables a and b, tuple assignment can be used: a, b = b, a. The left side must contain the same number of variables as there are elements on the right, and each value is assigned to the corresponding variable from left to right. Tuple assignment is useful for unpacking elements like splitting a string into parts.
GE3151 PSPP UNIT III QUESTION BANK.docx.pdf
This document discusses control flow, functions, and recursion in Python. It begins by defining boolean expressions and explaining different types of operators like arithmetic, relational, logical, and assignment operators. It then covers conditional execution using if, else, and elif statements. Loops like while and for are explained along with break, continue, and pass statements. Functions are described as being able to return values. Finally, recursion is defined as a function calling itself, either directly or indirectly.
GE3151 UNIT II Study material .pdf
The document discusses various concepts related to data, expressions, and statements in Python programming. It begins by defining an interpreter as a program that executes instructions in a programming language. It then discusses invoking the Python interpreter in both script and interactive modes. In interactive mode, the interpreter provides immediate feedback for each statement. The document also defines various Python concepts like values and variables, keywords, expressions, operators, data types, functions, and control flow. It provides examples to illustrate function definition and calls, math functions, and basic Python programs to swap variables, check leap years, and convert Celsius to Fahrenheit.
GE3151 PSPP All unit question bank.pdf
This document outlines the syllabus for the course GE3151 Problem Solving and Python Programming. It contains 5 units that cover topics such as algorithmic problem solving, Python data types and expressions, control flow and functions in Python, Python lists, tuples and dictionaries, and files and modules in Python. The objectives of the course are to teach students how to solve problems using Python conditionals and loops, define Python functions, use Python data structures, perform input/output with files, and more. Each unit is allocated a certain number of periods to be taught and includes example programs to illustrate the concepts covered.
GE3151_PSPP_All unit _Notes
This document outlines the syllabus for the course GE3151 Problem Solving and Python Programming. It includes 5 units that cover topics like computational thinking, Python data types, control flow, functions, lists, tuples, dictionaries, files and modules. The objectives of the course are to understand algorithmic problem solving, learn to solve problems using Python conditionals and loops, define functions and use data structures like lists and tuples. It also aims to teach input/output with files in Python. The document provides the number of periods (45) and textbooks recommended for the course.
GE3151_PSPP_UNIT_5_Notes
This document outlines the objectives and units of study for the course GE3151 Problem Solving and Python Programming. The course aims to teach algorithmic problem solving using Python conditionals, loops, functions, and data structures like lists, tuples and dictionaries. Students will learn to do input/output with files in Python. The 5 units cover computational thinking and problem solving, Python data types and statements, control flow and functions, lists, tuples and dictionaries, and files, modules and packages. Key concepts covered include algorithms, conditionals, iteration, functions, strings, lists, files operations like reading, writing and closing files, and exception handling.
GE3151_PSPP_UNIT_4_Notes
The document provides information about the course GE3151 Problem Solving and Python Programming. It includes the objectives of the course, which are to understand algorithmic problem solving and learn to solve problems using Python constructs like conditionals, loops, functions, and data structures. It also outlines the 5 units that will be covered in the course, which include computational thinking, Python basics, control flow and functions, lists/tuples/dictionaries, and files/modules. Example problems and programs are provided for different sorting algorithms, quadratic equations, and list operations.
GE3151_PSPP_UNIT_3_Notes
This document outlines the objectives and units of study for the course GE3151 Problem Solving and Python Programming. The objectives include understanding algorithmic problem solving, learning to solve problems using Python conditionals and loops, defining functions, and using data structures like lists, tuples and dictionaries. The 5 units of study are: Computational Thinking and Problem Solving, Data Types Expressions and Statements, Control Flow Functions and Strings, Lists Tuples and Dictionaries, and Files Modules and Packages. Some example problems and programs are provided for each unit to illustrate the concepts covered.
GE3151_PSPP_UNIT_2_Notes
This document outlines the objectives and content of the course GE3151 Problem Solving and Python Programming. The course is intended to teach students the basics of algorithmic problem solving using Python. It covers topics like computational thinking, Python data types, control flow, functions, strings, lists, tuples, dictionaries, files and modules. The course contains 5 units that will teach students how to define problems, develop algorithms, implement solutions in Python using conditionals, loops, functions and data structures, perform input/output with files and use modules and packages.
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
This document provides an overview of first-order logic for knowledge representation in artificial intelligence. It discusses the syntax and semantics of first-order logic, including predicates, quantifiers, and variables. It also describes the knowledge engineering process for developing a first-order logic knowledge base, including identifying the problem domain, encoding general domain knowledge as rules, and representing a specific problem instance. Queries can then be posed to the knowledge base to infer answers using logical reasoning techniques like forward chaining and backward chaining.
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
The document summarizes topics to be covered in an AI course session. It includes:
1. Logical reasoning, propositional logic, theorem proving, model checking, and agents based on propositional logic will be discussed. First-order logic, syntax, semantics, knowledge representation, inference, and chaining will also be covered.
2. Examples of first-order logic, resolution proofs, and knowledge representation are provided.
3. The next session will cover acting under uncertainty.
AI3391 Artificial intelligence Session 28 Resolution.pptx
The document outlines topics to be covered in an Artificial Intelligence session, including logical reasoning, propositional logic, first-order logic, knowledge representation, inference, and resolution theorem proving. It provides examples of converting statements to clausal form, constructing a resolution proof graph through unification of complementary literals, and uses an example problem to demonstrate resolving "John likes peanuts" through contradiction. The next session will cover forward and backward chaining inference techniques.
AI3391 Artificial intelligence session 27 inference and unification.pptx
This document summarizes an AI class session covering logical reasoning topics like propositional logic, first-order logic, and unification. It introduces propositional versus first-order logic and describes their differences. Key concepts from unification like the unification algorithm, most general unifier, and examples of unifying expressions are provided. The next class topics will cover resolution in first-order logic.
AI3391 Artificial Intelligence Session 26 First order logic.pptx
This document summarizes a session on first-order logic presented by Assistant Professor M. Gokilavani. The session covered the basics of first-order logic, including its syntax and semantics. Key points included: first-order logic uses predicates, terms, quantifiers, and connectives to represent relationships between objects; its syntax includes atomic sentences formed from predicates and terms, and complex sentences formed by combining atomic sentences; the universal and existential quantifiers allow representing statements that apply to all or some objects. Examples were provided to demonstrate representing statements in first-order logic. The next session will cover rules of inference in first-order logic.
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
1) The document discusses a session on propositional logic and knowledge representation in artificial intelligence.
2) Key topics covered include propositional logic, knowledge representation using logic, inference rules, resolution proofs and Horn clauses.
3) Examples of knowledge representation using propositional logic and semantic networks are provided.
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
This document outlines topics covered in an Artificial Intelligence session, including logical reasoning, propositional logic, first-order logic, knowledge representation, and ontological engineering. It discusses representing concepts, categories, objects, events, and mental objects in an ontology. Reasoning about categories involves defining concepts through necessary and sufficient conditions or typical properties. Relationships between objects, parts, measurements, events and time are also covered.
AI3391 Artificial Intelligence UNIT III Notes_merged.pdf
The document provides information about game playing and constraint satisfaction problems (CSP). It discusses adversarial search techniques like minimax algorithm and alpha-beta pruning that are used for game playing. The minimax algorithm uses recursion to search through the game tree and find the optimal move. Alpha-beta pruning improves on minimax by pruning parts of the tree that are guaranteed not to affect the outcome. The document also mentions other topics like Monte Carlo tree search, stochastic games with elements of chance, and formalization of game state, actions, results, and utilities.
AI3391 Artificial Intelligence Session 23 Backtracking CSP's.pptx
The document summarizes key topics covered in an artificial intelligence session, including:
- Game theory, optimal decision making in games, alpha-beta search, and Monte Carlo tree search.
- Constraint satisfaction problems, constraint propagation techniques like node consistency and arc consistency, and backtracking search algorithms to solve CSPs.
- Methods to improve backtracking search efficiency like variable and value ordering, forward checking, and detecting failures early.
- Decomposing problems into subproblems, and tree-structured CSP algorithms using backward-forward checking.
- Local search methods like hill-climbing to solve CSPs by attempting to minimize constraint violations.
AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx
This document summarizes a lecture on artificial intelligence topics including game theory, constraint satisfaction problems, and cryptarithmetic problems. It provides examples of solving cryptarithmetic problems by assigning digits to letters to make the arithmetic equations valid. The lecture covered optimal decision making in games, tree search algorithms, constraint propagation techniques, and backtracking search approaches for solving constraint satisfaction problems. Example problems and step-by-step solutions of cryptarithmetic equations were presented to illustrate the constraint satisfaction framework.
AI3391 Artificial Intelligence Session 21 CSP.pptx
This document summarizes a session on constraint satisfaction problems (CSPs) presented by Assistant Professor M. Gokilavani. The session covered CSP definitions and examples, including map coloring. CSPs involve variables with finite domains and constraints limiting allowed value combinations. Standard search formulations and algorithms can solve CSPs by assigning values to variables while respecting constraints. Real-world applications like scheduling problems were also discussed. The next session will cover cryptarithmetic problems.
AI3391 Artificial Intelligence Session 20 partially observed games.pptx
This document summarizes topics covered in an Artificial Intelligence session, including game theory, optimal decision making in games, alpha-beta search, Monte Carlo tree search, stochastic games, partially observable games, and constraint satisfaction problems. Examples of state-of-the-art game programs are discussed, such as chess, Go, checkers, Othello, and Scrabble programs that use techniques like alpha-beta pruning, Monte Carlo rollouts, and databases to play perfectly or defeat human champions. The next session will cover constraint satisfaction problems in more detail.
AI3391 Artificial Intelligence Session 19 stochastics games.pptx
This document summarizes a lecture on artificial intelligence topics including game theory, constraint satisfaction problems, and stochastic games. The lecture covered optimal decision making in games, alpha-beta search, Monte Carlo tree search, partially observed games, constraint propagation, backtracking search for CSPs, local search for CSPs, and the structure of CSPs. It then discussed stochastic strategies, stochastic games such as backgammon which involve dice rolls, calculating expected values rather than definite values in stochastic games, and computing the expected value at chance nodes. Finally, it noted that partially observed games will be covered in the next session.
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
原版一模一样【微信：741003700 】【(uofo毕业证书)美国俄勒冈大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Open Channel Flow: fluid flow with a free surface
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
More Related Content
More from Asst.prof M.Gokilavani
GE3151 UNIT II Study material .pdf
The document discusses various concepts related to data, expressions, and statements in Python programming. It begins by defining an interpreter as a program that executes instructions in a programming language. It then discusses invoking the Python interpreter in both script and interactive modes. In interactive mode, the interpreter provides immediate feedback for each statement. The document also defines various Python concepts like values and variables, keywords, expressions, operators, data types, functions, and control flow. It provides examples to illustrate function definition and calls, math functions, and basic Python programs to swap variables, check leap years, and convert Celsius to Fahrenheit.
GE3151 PSPP All unit question bank.pdf
This document outlines the syllabus for the course GE3151 Problem Solving and Python Programming. It contains 5 units that cover topics such as algorithmic problem solving, Python data types and expressions, control flow and functions in Python, Python lists, tuples and dictionaries, and files and modules in Python. The objectives of the course are to teach students how to solve problems using Python conditionals and loops, define Python functions, use Python data structures, perform input/output with files, and more. Each unit is allocated a certain number of periods to be taught and includes example programs to illustrate the concepts covered.
GE3151_PSPP_All unit _Notes
This document outlines the syllabus for the course GE3151 Problem Solving and Python Programming. It includes 5 units that cover topics like computational thinking, Python data types, control flow, functions, lists, tuples, dictionaries, files and modules. The objectives of the course are to understand algorithmic problem solving, learn to solve problems using Python conditionals and loops, define functions and use data structures like lists and tuples. It also aims to teach input/output with files in Python. The document provides the number of periods (45) and textbooks recommended for the course.
GE3151_PSPP_UNIT_5_Notes
This document outlines the objectives and units of study for the course GE3151 Problem Solving and Python Programming. The course aims to teach algorithmic problem solving using Python conditionals, loops, functions, and data structures like lists, tuples and dictionaries. Students will learn to do input/output with files in Python. The 5 units cover computational thinking and problem solving, Python data types and statements, control flow and functions, lists, tuples and dictionaries, and files, modules and packages. Key concepts covered include algorithms, conditionals, iteration, functions, strings, lists, files operations like reading, writing and closing files, and exception handling.
GE3151_PSPP_UNIT_4_Notes
The document provides information about the course GE3151 Problem Solving and Python Programming. It includes the objectives of the course, which are to understand algorithmic problem solving and learn to solve problems using Python constructs like conditionals, loops, functions, and data structures. It also outlines the 5 units that will be covered in the course, which include computational thinking, Python basics, control flow and functions, lists/tuples/dictionaries, and files/modules. Example problems and programs are provided for different sorting algorithms, quadratic equations, and list operations.
GE3151_PSPP_UNIT_3_Notes
This document outlines the objectives and units of study for the course GE3151 Problem Solving and Python Programming. The objectives include understanding algorithmic problem solving, learning to solve problems using Python conditionals and loops, defining functions, and using data structures like lists, tuples and dictionaries. The 5 units of study are: Computational Thinking and Problem Solving, Data Types Expressions and Statements, Control Flow Functions and Strings, Lists Tuples and Dictionaries, and Files Modules and Packages. Some example problems and programs are provided for each unit to illustrate the concepts covered.
GE3151_PSPP_UNIT_2_Notes
This document outlines the objectives and content of the course GE3151 Problem Solving and Python Programming. The course is intended to teach students the basics of algorithmic problem solving using Python. It covers topics like computational thinking, Python data types, control flow, functions, strings, lists, tuples, dictionaries, files and modules. The course contains 5 units that will teach students how to define problems, develop algorithms, implement solutions in Python using conditionals, loops, functions and data structures, perform input/output with files and use modules and packages.
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
This document provides an overview of first-order logic for knowledge representation in artificial intelligence. It discusses the syntax and semantics of first-order logic, including predicates, quantifiers, and variables. It also describes the knowledge engineering process for developing a first-order logic knowledge base, including identifying the problem domain, encoding general domain knowledge as rules, and representing a specific problem instance. Queries can then be posed to the knowledge base to infer answers using logical reasoning techniques like forward chaining and backward chaining.
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
The document summarizes topics to be covered in an AI course session. It includes:
1. Logical reasoning, propositional logic, theorem proving, model checking, and agents based on propositional logic will be discussed. First-order logic, syntax, semantics, knowledge representation, inference, and chaining will also be covered.
2. Examples of first-order logic, resolution proofs, and knowledge representation are provided.
3. The next session will cover acting under uncertainty.
AI3391 Artificial intelligence Session 28 Resolution.pptx
The document outlines topics to be covered in an Artificial Intelligence session, including logical reasoning, propositional logic, first-order logic, knowledge representation, inference, and resolution theorem proving. It provides examples of converting statements to clausal form, constructing a resolution proof graph through unification of complementary literals, and uses an example problem to demonstrate resolving "John likes peanuts" through contradiction. The next session will cover forward and backward chaining inference techniques.
AI3391 Artificial intelligence session 27 inference and unification.pptx
This document summarizes an AI class session covering logical reasoning topics like propositional logic, first-order logic, and unification. It introduces propositional versus first-order logic and describes their differences. Key concepts from unification like the unification algorithm, most general unifier, and examples of unifying expressions are provided. The next class topics will cover resolution in first-order logic.
AI3391 Artificial Intelligence Session 26 First order logic.pptx
This document summarizes a session on first-order logic presented by Assistant Professor M. Gokilavani. The session covered the basics of first-order logic, including its syntax and semantics. Key points included: first-order logic uses predicates, terms, quantifiers, and connectives to represent relationships between objects; its syntax includes atomic sentences formed from predicates and terms, and complex sentences formed by combining atomic sentences; the universal and existential quantifiers allow representing statements that apply to all or some objects. Examples were provided to demonstrate representing statements in first-order logic. The next session will cover rules of inference in first-order logic.
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
1) The document discusses a session on propositional logic and knowledge representation in artificial intelligence.
2) Key topics covered include propositional logic, knowledge representation using logic, inference rules, resolution proofs and Horn clauses.
3) Examples of knowledge representation using propositional logic and semantic networks are provided.
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
This document outlines topics covered in an Artificial Intelligence session, including logical reasoning, propositional logic, first-order logic, knowledge representation, and ontological engineering. It discusses representing concepts, categories, objects, events, and mental objects in an ontology. Reasoning about categories involves defining concepts through necessary and sufficient conditions or typical properties. Relationships between objects, parts, measurements, events and time are also covered.
AI3391 Artificial Intelligence UNIT III Notes_merged.pdf
The document provides information about game playing and constraint satisfaction problems (CSP). It discusses adversarial search techniques like minimax algorithm and alpha-beta pruning that are used for game playing. The minimax algorithm uses recursion to search through the game tree and find the optimal move. Alpha-beta pruning improves on minimax by pruning parts of the tree that are guaranteed not to affect the outcome. The document also mentions other topics like Monte Carlo tree search, stochastic games with elements of chance, and formalization of game state, actions, results, and utilities.
AI3391 Artificial Intelligence Session 23 Backtracking CSP's.pptx
The document summarizes key topics covered in an artificial intelligence session, including:
- Game theory, optimal decision making in games, alpha-beta search, and Monte Carlo tree search.
- Constraint satisfaction problems, constraint propagation techniques like node consistency and arc consistency, and backtracking search algorithms to solve CSPs.
- Methods to improve backtracking search efficiency like variable and value ordering, forward checking, and detecting failures early.
- Decomposing problems into subproblems, and tree-structured CSP algorithms using backward-forward checking.
- Local search methods like hill-climbing to solve CSPs by attempting to minimize constraint violations.
AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx
This document summarizes a lecture on artificial intelligence topics including game theory, constraint satisfaction problems, and cryptarithmetic problems. It provides examples of solving cryptarithmetic problems by assigning digits to letters to make the arithmetic equations valid. The lecture covered optimal decision making in games, tree search algorithms, constraint propagation techniques, and backtracking search approaches for solving constraint satisfaction problems. Example problems and step-by-step solutions of cryptarithmetic equations were presented to illustrate the constraint satisfaction framework.
AI3391 Artificial Intelligence Session 21 CSP.pptx
This document summarizes a session on constraint satisfaction problems (CSPs) presented by Assistant Professor M. Gokilavani. The session covered CSP definitions and examples, including map coloring. CSPs involve variables with finite domains and constraints limiting allowed value combinations. Standard search formulations and algorithms can solve CSPs by assigning values to variables while respecting constraints. Real-world applications like scheduling problems were also discussed. The next session will cover cryptarithmetic problems.
AI3391 Artificial Intelligence Session 20 partially observed games.pptx
This document summarizes topics covered in an Artificial Intelligence session, including game theory, optimal decision making in games, alpha-beta search, Monte Carlo tree search, stochastic games, partially observable games, and constraint satisfaction problems. Examples of state-of-the-art game programs are discussed, such as chess, Go, checkers, Othello, and Scrabble programs that use techniques like alpha-beta pruning, Monte Carlo rollouts, and databases to play perfectly or defeat human champions. The next session will cover constraint satisfaction problems in more detail.
AI3391 Artificial Intelligence Session 19 stochastics games.pptx
This document summarizes a lecture on artificial intelligence topics including game theory, constraint satisfaction problems, and stochastic games. The lecture covered optimal decision making in games, alpha-beta search, Monte Carlo tree search, partially observed games, constraint propagation, backtracking search for CSPs, local search for CSPs, and the structure of CSPs. It then discussed stochastic strategies, stochastic games such as backgammon which involve dice rolls, calculating expected values rather than definite values in stochastic games, and computing the expected value at chance nodes. Finally, it noted that partially observed games will be covered in the next session.
More from Asst.prof M.Gokilavani (20)
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
AI3391 Artificial intelligence Session 28 Resolution.pptx
AI3391 Artificial intelligence Session 28 Resolution.pptx
AI3391 Artificial intelligence session 27 inference and unification.pptx
AI3391 Artificial intelligence session 27 inference and unification.pptx
AI3391 Artificial Intelligence Session 26 First order logic.pptx
AI3391 Artificial Intelligence Session 26 First order logic.pptx
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
AI3391 Artificial Intelligence UNIT III Notes_merged.pdf
AI3391 Artificial Intelligence UNIT III Notes_merged.pdf
AI3391 Artificial Intelligence Session 23 Backtracking CSP's.pptx
AI3391 Artificial Intelligence Session 23 Backtracking CSP's.pptx
AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx
AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx
AI3391 Artificial Intelligence Session 21 CSP.pptx
AI3391 Artificial Intelligence Session 21 CSP.pptx
AI3391 Artificial Intelligence Session 20 partially observed games.pptx
AI3391 Artificial Intelligence Session 20 partially observed games.pptx
AI3391 Artificial Intelligence Session 19 stochastics games.pptx
AI3391 Artificial Intelligence Session 19 stochastics games.pptx
Recently uploaded
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
原版一模一样【微信：741003700 】【(uofo毕业证书)美国俄勒冈大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Open Channel Flow: fluid flow with a free surface
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
* Registration is currently open *
Call for Research Papers!!!
Free – Extended Paper will be published as free of cost.
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
July 13 ~ 14, 2024, Virtual Conference
Webpage URL: https://aiad2024.org/index
Submission Deadline: June 22, 2024
Submission System URL:
https://aiad2024.org/submission/index.php
Contact Us:
Here's where you can reach us : aiad@aiad2024.org (or) aiadconference@yahoo.com
WikiCFP URL: http://wikicfp.com/cfp/servlet/event.showcfp?eventid=180509©ownerid=171656
#artificialintelligence #softcomputing #machinelearning #technology #datascience #python #deeplearning #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #engineering #robot #datascientist #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer #promptengineering #generativeai #genai #chatgpt #artificial #intelligence #datamining #networkscommunications #robotics #callforsubmission #submissionsopen #deadline #opencall #virtual #conference
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
原版一模一样【微信：741003700 】【(uoft毕业证书)加拿大多伦多大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uoft毕业证书)加拿大多伦多大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Beckhoff Programmable Logic Control Overview Presentation
This presentation is to describe the overview of PLC Beckhoff for beginners
OOPS_Lab_Manual - programs using C++ programming language
This manual contains programs on object oriented programming concepts using C++ language.
Blood finder application project report (1).pdf
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Object Oriented Analysis and Design - OOAD
This ppt gives detailed description of Object Oriented Analysis and design.
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
The need for ecofriendly materials as building materials in this century cannot be overemphasized
SELENIUM CONF -PALLAVI SHARMA - 2024.pdf
Begin your journey to contribute to Selenium - A Talk at the Selenium Conference 2024
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
FULL STACK PROGRAMMING - Both Front End and Back End
This ppt gives details about Full Stack Programming and its basics.
Accident detection system project report.pdf
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Sri Guru Hargobind Ji - Bandi Chor Guru.pdf
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
Recently uploaded (20)
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Beckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview Presentation
OOPS_Lab_Manual - programs using C++ programming language
OOPS_Lab_Manual - programs using C++ programming language
EV BMS WITH CHARGE MONITOR AND FIRE DETECTION.pptx
EV BMS WITH CHARGE MONITOR AND FIRE DETECTION.pptx
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
Call Girls Chennai +91-8824825030 Vip Call Girls Chennai
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
DESIGN AND MANUFACTURE OF CEILING BOARD USING SAWDUST AND WASTE CARTON MATERI...
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
FULL STACK PROGRAMMING - Both Front End and Back End
FULL STACK PROGRAMMING - Both Front End and Back End
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx