This document appears to be a collection of 5 blank or empty pages labeled "General Page 9" through "General Page 13". There is no substantive information or content contained within these pages.
Dental implant courses are an excellent way to expand your current dental practice.. Dr. John Minichetti explains the current bone grafting techniques that are critical to a good dental implant course. Make sure the dental implant course you choose includes these key bone grafting techniques.
This document provides a past tense verb crossword puzzle as a worksheet for students to practice irregular past tense verbs. The crossword contains 18 past tense verbs and clues using those verbs in sentences. It is intended for elementary to pre-intermediate English students and can be used individually, in pairs, or for homework. The answer key is provided to check student work. Additional information encourages becoming a member of the website to access over 350 similar worksheets for classroom use.
This document appears to be a 10 page report or document with general pages 1 through 10. It does not provide any other context or details about the content, purpose, or subject matter covered across its 10 pages.
This document provides the objective, materials, and procedures for an activity about light and color under the sea. The objective is for students to experiment with a model of how light and colors are absorbed as one descends in the ocean, and to describe adaptations for low or no light in deep sea organisms. The activity involves using plastic sheets, a flashlight, and other materials to simulate how different colors are filtered out under water. It also provides extension ideas like making a rainbow fish poster highlighting character traits of friends.
The document contains copyright information from TeachTown Inc. and lists various classroom objects such as a backpack, bell, blocks, books, calendar, chair, clock, crayons, cubby, door, easel, flag, globe, juicebox, lunchbox, markers, paper, pen, pencil, ruler, scissors, sink, table, tape, and whiteboard.
The document is an email log from December 10, 2011 containing 13 messages all sent from ashokdascare@yahoo.com.au to an unknown recipient. The log lists the date, time, sender's email, and a message number for each entry.
This 4 page document appears to contain general information across multiple topics. It includes content from pages 6 through 9 but no other contextual details are provided to understand the overall purpose or main topics covered within these pages.
This 4 page document appears to contain general information across multiple pages but does not provide enough contextual details to extract meaningful essential information. The document references page numbers but no other identifiable details are given.
Dental implant courses are an excellent way to expand your current dental practice.. Dr. John Minichetti explains the current bone grafting techniques that are critical to a good dental implant course. Make sure the dental implant course you choose includes these key bone grafting techniques.
This document provides a past tense verb crossword puzzle as a worksheet for students to practice irregular past tense verbs. The crossword contains 18 past tense verbs and clues using those verbs in sentences. It is intended for elementary to pre-intermediate English students and can be used individually, in pairs, or for homework. The answer key is provided to check student work. Additional information encourages becoming a member of the website to access over 350 similar worksheets for classroom use.
This document appears to be a 10 page report or document with general pages 1 through 10. It does not provide any other context or details about the content, purpose, or subject matter covered across its 10 pages.
This document provides the objective, materials, and procedures for an activity about light and color under the sea. The objective is for students to experiment with a model of how light and colors are absorbed as one descends in the ocean, and to describe adaptations for low or no light in deep sea organisms. The activity involves using plastic sheets, a flashlight, and other materials to simulate how different colors are filtered out under water. It also provides extension ideas like making a rainbow fish poster highlighting character traits of friends.
The document contains copyright information from TeachTown Inc. and lists various classroom objects such as a backpack, bell, blocks, books, calendar, chair, clock, crayons, cubby, door, easel, flag, globe, juicebox, lunchbox, markers, paper, pen, pencil, ruler, scissors, sink, table, tape, and whiteboard.
The document is an email log from December 10, 2011 containing 13 messages all sent from ashokdascare@yahoo.com.au to an unknown recipient. The log lists the date, time, sender's email, and a message number for each entry.
This 4 page document appears to contain general information across multiple topics. It includes content from pages 6 through 9 but no other contextual details are provided to understand the overall purpose or main topics covered within these pages.
This 4 page document appears to contain general information across multiple pages but does not provide enough contextual details to extract meaningful essential information. The document references page numbers but no other identifiable details are given.
This 4 page document appears to be a general report spanning multiple topics across 4 pages. The document covers general information on pages 1 through 4, with each page denoted as "General Page 1", "General Page 2", and so on. In summary, the document is a 4 page general report covering various topics.
This 4 page document discusses general topics across multiple pages but provides no specific details. The document covers an unknown range of subjects over its 4 pages without any clear purpose or conclusion stated.
This document appears to be a collection of pages without much context or connection between them. It includes 6 blank pages with page numbers and 3 pages numbered 7, 8 and 9 without other distinguishing content to summarize.
GATE _Digital Electronics(part 2)-Solved problems of GATE Exam Krishanu Kundu
This document is a recommendation letter written by Krishanu Kundu, an Assistant Professor in the Electrical and Computer Engineering department, for a student applying to graduate school. Kundu describes the student as highly motivated, talented, and having strong research skills. He believes the student will excel in graduate level coursework and research due to their technical knowledge, work ethic, and communication abilities. Kundu strongly recommends the student for admission.
GATE_Digital Electronics(part 1)-Solved problems of GATE ExamKrishanu Kundu
The document is a recommendation letter for Krishanu Kundu written by his department head. It states that Krishanu is an excellent teacher who is well liked by students and has contributed significantly to curriculum development. It strongly recommends Krishanu for the position of Associate Professor based on his teaching skills and research publications.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
This 4 page document appears to be a general report spanning multiple topics across 4 pages. The document covers general information on pages 1 through 4, with each page denoted as "General Page 1", "General Page 2", and so on. In summary, the document is a 4 page general report covering various topics.
This 4 page document discusses general topics across multiple pages but provides no specific details. The document covers an unknown range of subjects over its 4 pages without any clear purpose or conclusion stated.
This document appears to be a collection of pages without much context or connection between them. It includes 6 blank pages with page numbers and 3 pages numbered 7, 8 and 9 without other distinguishing content to summarize.
GATE _Digital Electronics(part 2)-Solved problems of GATE Exam Krishanu Kundu
This document is a recommendation letter written by Krishanu Kundu, an Assistant Professor in the Electrical and Computer Engineering department, for a student applying to graduate school. Kundu describes the student as highly motivated, talented, and having strong research skills. He believes the student will excel in graduate level coursework and research due to their technical knowledge, work ethic, and communication abilities. Kundu strongly recommends the student for admission.
GATE_Digital Electronics(part 1)-Solved problems of GATE ExamKrishanu Kundu
The document is a recommendation letter for Krishanu Kundu written by his department head. It states that Krishanu is an excellent teacher who is well liked by students and has contributed significantly to curriculum development. It strongly recommends Krishanu for the position of Associate Professor based on his teaching skills and research publications.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024