Blood cell classification using deep learning
•
0 likes•313 views
Blood cell classification using Convolutional Neural Networks CNN algorithm
Report
Share
Report
Share
Download to read offline
Recommended
artificial intelligence notes
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Bitcoin price prediction
The document discusses the results of a study on the effects of exercise on memory and thinking abilities in older adults. The study found that regular exercise can help reduce the decline in thinking abilities that often occurs with age. Older adults who exercised regularly performed better on cognitive tests and brain scans showed they had greater activity in important areas for memory and learning compared to less active peers.
DAA 18CS42 VTU CSE
This document contains lecture slides for a Design and Analysis of Algorithms (DAA) course. It lists two textbooks for the course and provides links to download them. It then discusses the definition of an algorithm and provides examples of algorithms for finding the largest number in an array and calculating the greatest common divisor (GCD) of two numbers using Euclid's algorithm. Sample code and step-by-step workings are shown for these algorithms.
3. cs8451 daa anna univ question bank unit 3
3. cs8451 daa anna univ question bank unit 3P. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai
This document contains questions from previous years' exams on the subject of algorithms, specifically regarding dynamic programming, greedy techniques, and related algorithms. It is divided into multiple parts covering different topics:
- Part A contains short answer and descriptive questions on dynamic programming techniques like coin changing, Floyd's algorithm, knapsack problem, and greedy algorithms.
- Part B contains longer descriptive questions requiring explanations and examples regarding dynamic programming, Floyd's algorithm, optimal binary search trees, knapsack problem, traveling salesman problem, and greedy algorithms like Prim's, Kruskal's and Dijkstra's algorithms.
- Part C contains even more in-depth questions solving problems using dynamic programming, Warshall's algorithmConvolutional Neural Network (CNN)
Convolutional Neural Network (CNN)
Steps in CNN
Convolution
Max Pooling
Flattening
Full Connection
Cloud Computing Assignment 3
This document contains the answers to 10 short questions related to cloud computing topics. It defines computer viruses, worms, and Trojan horses. It discusses network protocols like FTP, HTTPS, and others used in cloud computing. It explains denial of service (DoS) attacks, resource management in cloud computing, differences between HTTP and HTTPS, scheduling in cloud computing, differences between authentication and authorization, data encryption techniques, what SSL is, and what an identity management system is and how it is helpful in cloud computing.
TensorFlow Object Detection API
Tom and Spike classifier using TensorFlow Object Detection. Presentation slides of the meetup TFOD conducted on 17/11/2018 at Algoscale Technologies Inc.
Recommended
artificial intelligence notes
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Bitcoin price prediction
The document discusses the results of a study on the effects of exercise on memory and thinking abilities in older adults. The study found that regular exercise can help reduce the decline in thinking abilities that often occurs with age. Older adults who exercised regularly performed better on cognitive tests and brain scans showed they had greater activity in important areas for memory and learning compared to less active peers.
DAA 18CS42 VTU CSE
This document contains lecture slides for a Design and Analysis of Algorithms (DAA) course. It lists two textbooks for the course and provides links to download them. It then discusses the definition of an algorithm and provides examples of algorithms for finding the largest number in an array and calculating the greatest common divisor (GCD) of two numbers using Euclid's algorithm. Sample code and step-by-step workings are shown for these algorithms.
3. cs8451 daa anna univ question bank unit 3
3. cs8451 daa anna univ question bank unit 3P. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai
This document contains questions from previous years' exams on the subject of algorithms, specifically regarding dynamic programming, greedy techniques, and related algorithms. It is divided into multiple parts covering different topics:
- Part A contains short answer and descriptive questions on dynamic programming techniques like coin changing, Floyd's algorithm, knapsack problem, and greedy algorithms.
- Part B contains longer descriptive questions requiring explanations and examples regarding dynamic programming, Floyd's algorithm, optimal binary search trees, knapsack problem, traveling salesman problem, and greedy algorithms like Prim's, Kruskal's and Dijkstra's algorithms.
- Part C contains even more in-depth questions solving problems using dynamic programming, Warshall's algorithmConvolutional Neural Network (CNN)
Convolutional Neural Network (CNN)
Steps in CNN
Convolution
Max Pooling
Flattening
Full Connection
Cloud Computing Assignment 3
This document contains the answers to 10 short questions related to cloud computing topics. It defines computer viruses, worms, and Trojan horses. It discusses network protocols like FTP, HTTPS, and others used in cloud computing. It explains denial of service (DoS) attacks, resource management in cloud computing, differences between HTTP and HTTPS, scheduling in cloud computing, differences between authentication and authorization, data encryption techniques, what SSL is, and what an identity management system is and how it is helpful in cloud computing.
TensorFlow Object Detection API
Tom and Spike classifier using TensorFlow Object Detection. Presentation slides of the meetup TFOD conducted on 17/11/2018 at Algoscale Technologies Inc.
Pattern recognition UNIT 5
This document provides an overview of pattern recognition techniques. It begins with an introduction to pattern recognition and its applications. It then outlines the syllabus, which includes topics like design principles, statistical pattern recognition, parameter estimation methods, principal component analysis, linear discriminant analysis, and classification techniques. Under each topic, it provides further details and explanations.
Cyber forensics
This presentation includes different forms of cyber attacks and the methods to deal with such attacks
04 Evidence Collection and Data Seizure - Notes
The document discusses guidelines for properly collecting and analyzing digital evidence from compromised systems. It emphasizes the importance of preserving evidence in its original state, establishing a clear chain of custody, and thoroughly documenting all procedures to ensure the evidence is admissible in court. The general procedure involves identifying relevant evidence, analyzing it to reconstruct the incident, and presenting findings in an understandable way. Volatile data like memory contents should be captured before non-volatile data from disks. Contamination must be avoided by only examining copies of original data.
Malware Classification and Analysis
The document discusses malware analysis using machine learning. It proposes collecting malware binaries from online sources and using Cuckoo Sandbox to analyze their behavior dynamically. Features would be extracted from the analysis reports and used to classify the malware into families using machine learning algorithms. The goal is to develop an automated malware classification system that can identify both known and unknown malware types.
Cyber Security - Unit - 3 - Web Application Tools Scanning for web vulnerabil...
Cyber Security - Unit - 3 - Web Application Tools Scanning for web vulnerabil...Gyanmanjari Institute Of Technology
Web Application Tools Scanning for web vulnerabilities tools: Nikto, W3af, HTTP utilities - Curl, OpenSSL and Stunnel, Application Inspection tools – Zed Attack Proxy, Sqlmap. DVWA, Webgoat, Password Cracking and Brute-Force Tools – John the Ripper, L0htcrack, Pwdump, HTC-HydraPacket sniffers
This document discusses packet sniffing and methods for detecting packet sniffers. It defines packet sniffing as monitoring all network packets and describes common packet sniffer tools like tcpdump. It explains that packet sniffers can be used for both legitimate and malicious purposes, such as password theft or network mapping. The document outlines two key methods for detecting packet sniffers - MAC detection and DNS detection. MAC detection works by sending packets with invalid MAC addresses and checking if any hosts respond in promiscuous mode. DNS detection exploits the behavior of sniffers performing DNS lookups on spoofed source IP addresses. Both methods were found to accurately detect the presence of packet sniffers on a network.
Java Servlets
- The document provides an overview of servlet technology including servlet basics, lifecycle, important classes, and Apache Tomcat implementation.
- It describes how to set up a development environment with Tomcat and IDEs like Eclipse, and covers servlet structure, deployment, mapping, and configuration using the web.xml file.
- An example basic servlet class is shown extending HttpServlet and implementing doGet and doPost methods.
Password craking techniques
The document discusses various techniques for cracking passwords, including dictionary attacks, brute force attacks, and exploiting weaknesses in password hashing algorithms. Default passwords, social engineering through phishing emails, and the use of tools like Cain and Abel, John the Ripper, and THC Hydra are also covered as effective cracking methods. Common password mistakes that can enable cracking are also listed.
8 queen problem
The document discusses using a backtracking algorithm to solve the 8 queens problem. It begins by defining backtracking and listing examples where it can be used, such as Sudoku. It then defines the 8 queens problem as placing 8 queens on an 8x8 chessboard so that no two queens attack each other. It provides the formulation for the 8 queens problem using backtracking, including the states, initial state, successor functions, and goal test. Finally, it provides the steps of the backtracking algorithm to solve the 8 queens problem and notes that for an 8x8 board, 92 possible solutions exist excluding symmetrical solutions, with only 12 unique solutions.
Algorithms
The document discusses various sorting algorithms such as selection sort, insertion sort, bubble sort, and quicksort. It provides descriptions of how each algorithm works and analyzes their computational complexity, finding that simple algorithms like selection, insertion and bubble sort have a complexity of O(N2) while quicksort has better performance with a complexity of O(NLogN). The document also covers considerations for choosing a sorting method and provides pseudocode for the algorithms.
ML Zoomcamp 3 - Machine Learning for Classification
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Image Segmentation Using PYTHON
This document presents a project on image segmentation using Python. The objectives are to represent images in a meaningful way and divide them into segments with similar features. Tools used include Python, Pylab, Scikit-image and NumPy. Scikit-image contains algorithms for image segmentation and processing. The project demonstrates color image segmentation in Python and discusses outputs, advantages like use in medical imaging, and future scopes such as improving stability.
Multilayer & Back propagation algorithm
The document discusses multilayer neural networks and the backpropagation algorithm. It begins by introducing sigmoid units as differentiable threshold functions that allow gradient descent to be used. It then describes the backpropagation algorithm, which employs gradient descent to minimize error by adjusting weights. Key aspects covered include defining error terms for multiple outputs, deriving the weight update rules, and generalizing to arbitrary acyclic networks. Issues like local minima and representational power are also addressed.
Intelligent agent
An agent is anything that can perceive its environment and act upon that environment. An intelligent agent must sense, act autonomously, and be rational. There are different types of environments and classes of agents. Intelligent agents are applied as automated online assistants to perceive customer needs and perform individualized customer service.
Mac Forensics
The document provides information on analyzing Macintosh computers for digital forensics purposes. It discusses the file systems, operating systems, and applications used by Macs and how to acquire disk images and examine key artifacts. Specific topics covered include acquiring memory using Target Disk Mode, disabling disk arbitration, analyzing browser data from Safari, Firefox, Internet Explorer, and AOL, and examining email from applications like Mail, Entourage and AOL. Forensic tools mentioned include dd, dcfldd, Emailchemy, and the Safari Tools browser analyzer.
Apache Crunch
Building applications with Apache Crunch. An abstraction over lower level Hadoop MapReduce framework.
Neural Networks
This document provides an overview of artificial neural networks and their application as a model of the human brain. It discusses the biological neuron, different types of neural networks including feedforward, feedback, time delay, and recurrent networks. It also covers topics like learning in perceptrons, training algorithms, applications of neural networks, and references key concepts like connectionism, associative memory, and massive parallelism in the brain.
Semantic Web: an Introduction
This document provides an introduction to the Semantic Web and the technologies that enable it. It defines key concepts like resources, URIs, RDF, RDF Schema (RDFS), and the Web Ontology Language (OWL). It explains how these technologies allow data on the web to be represented and linked in a standardized, machine-readable way. Examples are provided to illustrate how RDF and OWL can be used to represent relationships between resources like books and authors. The document discusses how semantic technologies can help integrate and combine data from diverse sources on the web.
Introduction to Malware Analysis
This document provides an overview of malware analysis, including both static and dynamic analysis techniques. Static analysis involves examining a file's code and components without executing it, such as identifying file types, checking hashes, and viewing strings. Dynamic analysis involves executing the malware in a controlled environment and monitoring its behavior and any system changes. Dynamic analysis tools discussed include Process Explorer, Process Monitor, and Autoruns to track malware processes, files accessed, and persistence mechanisms. Both static and dynamic analysis are needed to fully understand malware behavior.
Front end web development
This document provides an overview of front-end web development. It begins by listing topics that will be covered, including what a website is, web development, front-end and back-end development, and languages like HTML, CSS, and JavaScript. It then defines a website and provides examples. It describes web development as building and maintaining websites and apps that run in browsers. It defines front-end development as producing HTML, CSS, and JavaScript that users directly see and interact with on a website or app. Back-end development refers to server-side code that communicates with databases and browsers. It also provides overviews of HTML, CSS, and JavaScript and their uses in web development.
Speech emotion recognition from audio converted
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of serotonin and endorphins which elevate mood and may help prevent mental illness.
More Related Content
What's hot
Pattern recognition UNIT 5
This document provides an overview of pattern recognition techniques. It begins with an introduction to pattern recognition and its applications. It then outlines the syllabus, which includes topics like design principles, statistical pattern recognition, parameter estimation methods, principal component analysis, linear discriminant analysis, and classification techniques. Under each topic, it provides further details and explanations.
Cyber forensics
This presentation includes different forms of cyber attacks and the methods to deal with such attacks
04 Evidence Collection and Data Seizure - Notes
The document discusses guidelines for properly collecting and analyzing digital evidence from compromised systems. It emphasizes the importance of preserving evidence in its original state, establishing a clear chain of custody, and thoroughly documenting all procedures to ensure the evidence is admissible in court. The general procedure involves identifying relevant evidence, analyzing it to reconstruct the incident, and presenting findings in an understandable way. Volatile data like memory contents should be captured before non-volatile data from disks. Contamination must be avoided by only examining copies of original data.
Malware Classification and Analysis
The document discusses malware analysis using machine learning. It proposes collecting malware binaries from online sources and using Cuckoo Sandbox to analyze their behavior dynamically. Features would be extracted from the analysis reports and used to classify the malware into families using machine learning algorithms. The goal is to develop an automated malware classification system that can identify both known and unknown malware types.
Cyber Security - Unit - 3 - Web Application Tools Scanning for web vulnerabil...
Cyber Security - Unit - 3 - Web Application Tools Scanning for web vulnerabil...Gyanmanjari Institute Of Technology
Web Application Tools Scanning for web vulnerabilities tools: Nikto, W3af, HTTP utilities - Curl, OpenSSL and Stunnel, Application Inspection tools – Zed Attack Proxy, Sqlmap. DVWA, Webgoat, Password Cracking and Brute-Force Tools – John the Ripper, L0htcrack, Pwdump, HTC-HydraPacket sniffers
This document discusses packet sniffing and methods for detecting packet sniffers. It defines packet sniffing as monitoring all network packets and describes common packet sniffer tools like tcpdump. It explains that packet sniffers can be used for both legitimate and malicious purposes, such as password theft or network mapping. The document outlines two key methods for detecting packet sniffers - MAC detection and DNS detection. MAC detection works by sending packets with invalid MAC addresses and checking if any hosts respond in promiscuous mode. DNS detection exploits the behavior of sniffers performing DNS lookups on spoofed source IP addresses. Both methods were found to accurately detect the presence of packet sniffers on a network.
Java Servlets
- The document provides an overview of servlet technology including servlet basics, lifecycle, important classes, and Apache Tomcat implementation.
- It describes how to set up a development environment with Tomcat and IDEs like Eclipse, and covers servlet structure, deployment, mapping, and configuration using the web.xml file.
- An example basic servlet class is shown extending HttpServlet and implementing doGet and doPost methods.
Password craking techniques
The document discusses various techniques for cracking passwords, including dictionary attacks, brute force attacks, and exploiting weaknesses in password hashing algorithms. Default passwords, social engineering through phishing emails, and the use of tools like Cain and Abel, John the Ripper, and THC Hydra are also covered as effective cracking methods. Common password mistakes that can enable cracking are also listed.
8 queen problem
The document discusses using a backtracking algorithm to solve the 8 queens problem. It begins by defining backtracking and listing examples where it can be used, such as Sudoku. It then defines the 8 queens problem as placing 8 queens on an 8x8 chessboard so that no two queens attack each other. It provides the formulation for the 8 queens problem using backtracking, including the states, initial state, successor functions, and goal test. Finally, it provides the steps of the backtracking algorithm to solve the 8 queens problem and notes that for an 8x8 board, 92 possible solutions exist excluding symmetrical solutions, with only 12 unique solutions.
Algorithms
The document discusses various sorting algorithms such as selection sort, insertion sort, bubble sort, and quicksort. It provides descriptions of how each algorithm works and analyzes their computational complexity, finding that simple algorithms like selection, insertion and bubble sort have a complexity of O(N2) while quicksort has better performance with a complexity of O(NLogN). The document also covers considerations for choosing a sorting method and provides pseudocode for the algorithms.
ML Zoomcamp 3 - Machine Learning for Classification
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Image Segmentation Using PYTHON
This document presents a project on image segmentation using Python. The objectives are to represent images in a meaningful way and divide them into segments with similar features. Tools used include Python, Pylab, Scikit-image and NumPy. Scikit-image contains algorithms for image segmentation and processing. The project demonstrates color image segmentation in Python and discusses outputs, advantages like use in medical imaging, and future scopes such as improving stability.
Multilayer & Back propagation algorithm
The document discusses multilayer neural networks and the backpropagation algorithm. It begins by introducing sigmoid units as differentiable threshold functions that allow gradient descent to be used. It then describes the backpropagation algorithm, which employs gradient descent to minimize error by adjusting weights. Key aspects covered include defining error terms for multiple outputs, deriving the weight update rules, and generalizing to arbitrary acyclic networks. Issues like local minima and representational power are also addressed.
Intelligent agent
An agent is anything that can perceive its environment and act upon that environment. An intelligent agent must sense, act autonomously, and be rational. There are different types of environments and classes of agents. Intelligent agents are applied as automated online assistants to perceive customer needs and perform individualized customer service.
Mac Forensics
The document provides information on analyzing Macintosh computers for digital forensics purposes. It discusses the file systems, operating systems, and applications used by Macs and how to acquire disk images and examine key artifacts. Specific topics covered include acquiring memory using Target Disk Mode, disabling disk arbitration, analyzing browser data from Safari, Firefox, Internet Explorer, and AOL, and examining email from applications like Mail, Entourage and AOL. Forensic tools mentioned include dd, dcfldd, Emailchemy, and the Safari Tools browser analyzer.
Apache Crunch
Building applications with Apache Crunch. An abstraction over lower level Hadoop MapReduce framework.
Neural Networks
This document provides an overview of artificial neural networks and their application as a model of the human brain. It discusses the biological neuron, different types of neural networks including feedforward, feedback, time delay, and recurrent networks. It also covers topics like learning in perceptrons, training algorithms, applications of neural networks, and references key concepts like connectionism, associative memory, and massive parallelism in the brain.
Semantic Web: an Introduction
This document provides an introduction to the Semantic Web and the technologies that enable it. It defines key concepts like resources, URIs, RDF, RDF Schema (RDFS), and the Web Ontology Language (OWL). It explains how these technologies allow data on the web to be represented and linked in a standardized, machine-readable way. Examples are provided to illustrate how RDF and OWL can be used to represent relationships between resources like books and authors. The document discusses how semantic technologies can help integrate and combine data from diverse sources on the web.
Introduction to Malware Analysis
This document provides an overview of malware analysis, including both static and dynamic analysis techniques. Static analysis involves examining a file's code and components without executing it, such as identifying file types, checking hashes, and viewing strings. Dynamic analysis involves executing the malware in a controlled environment and monitoring its behavior and any system changes. Dynamic analysis tools discussed include Process Explorer, Process Monitor, and Autoruns to track malware processes, files accessed, and persistence mechanisms. Both static and dynamic analysis are needed to fully understand malware behavior.
Front end web development
This document provides an overview of front-end web development. It begins by listing topics that will be covered, including what a website is, web development, front-end and back-end development, and languages like HTML, CSS, and JavaScript. It then defines a website and provides examples. It describes web development as building and maintaining websites and apps that run in browsers. It defines front-end development as producing HTML, CSS, and JavaScript that users directly see and interact with on a website or app. Back-end development refers to server-side code that communicates with databases and browsers. It also provides overviews of HTML, CSS, and JavaScript and their uses in web development.
What's hot (20)
Cyber Security - Unit - 3 - Web Application Tools Scanning for web vulnerabil...
Cyber Security - Unit - 3 - Web Application Tools Scanning for web vulnerabil...
ML Zoomcamp 3 - Machine Learning for Classification
ML Zoomcamp 3 - Machine Learning for Classification
More from dataalcott
Speech emotion recognition from audio converted
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of serotonin and endorphins which elevate mood and may help prevent mental illness.
Diabetes prediction using machine learning
This document discusses a proposed system to classify and predict diabetes using machine learning and deep learning algorithms. The objectives are to classify the PIMA Indian diabetes dataset and design an interactive application where users can input data to get a prediction. The proposed system uses support vector machine (SVM) for machine learning and neural networks for deep learning. It aims to improve accuracy over existing systems by using deep learning techniques. The methodology involves collecting a dataset, preprocessing, splitting for training and testing, applying algorithms, and evaluating results.
Phishing websitre detection using machine learning
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 mental illness and improve symptoms.
Crop prediction using machine learning
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Cricket match outcome prediction using machine learning
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 mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Credit card fraud detection through machine learning
This document discusses using machine learning algorithms for credit card fraud detection. It proposes using principal component analysis for feature selection followed by logistic regression and decision tree models. It finds that logistic regression has higher accuracy at 79.91% compared to 71.41% for decision tree. The proposed approach aims to better handle imbalanced data and reduce fraudulent transactions. Future work could implement the approach in Python and produce experimental results.
Brain tumor detection and Classification using deep learning techniques
Brain tumor detection and Classification using CNN algorithm
Breast cancer detection through histopathology image classification
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 mental illness and improve symptoms.
Sales prediction on black friday dataset using machine learning
The document discusses a project that uses machine learning algorithms to predict sales on Black Friday using customer data from previous years. It analyzes a dataset containing customer attributes and purchase amounts. Three regression models - Lasso, linear, and random forest regression - are trained on 80% of the data and tested on the remaining 20%. The random forest model achieved the highest prediction accuracy according to the root mean square error metric. Retailers can use these predictions to better understand customer purchasing behavior and inform marketing strategies for Black Friday.
Face recognition, eye blink for password authentication
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
Cardiac arrhythmia prediction
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
Anomaly acitivity detecion
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Animal classification using cnn and faster rcnn algorithm
Animal Classification using deep learning algorithm
Air pollution prediction in python
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 mental illness and improve symptoms.
Human action recognition project in python
Python project implementation of Human Action Recognition using Convolutional Neural Network CNN algorithm
Project topics in Python with New Ideas
Project Topics for CSE and IT group students on Python Machine Learning, Deep Learning, Artificial Intelligence
More from dataalcott (19)
Phishing websitre detection using machine learning
Phishing websitre detection using machine learning
Image deblur using lstm model- Deep learning algorithm
Image deblur using lstm model- Deep learning algorithm
Cricket match outcome prediction using machine learning
Cricket match outcome prediction using machine learning
Credit card fraud detection through machine learning
Credit card fraud detection through machine learning
Brain tumor detection and Classification using deep learning techniques
Brain tumor detection and Classification using deep learning techniques
Breast cancer detection through histopathology image classification
Breast cancer detection through histopathology image classification
Sales prediction on black friday dataset using machine learning
Sales prediction on black friday dataset using machine learning
Face recognition, eye blink for password authentication
Face recognition, eye blink for password authentication
Animal classification using cnn and faster rcnn algorithm
Animal classification using cnn and faster rcnn algorithm
Recently uploaded
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcMain Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Types of Herbal Cosmetics its standardization.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)Academy of Science of South Africa
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar KanvariaThe simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Top five deadliest dog breeds in America
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
Recently uploaded (20)
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3