Intelligent Reliability Analysis Using Matlab And Ai
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Intelligent Reliability Analysis Using Matlab And Ai
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Author : Dr. Cherry Bhargava
language : en
Publisher: BPB Publications
Release Date : 2021-06-21
Intelligent Reliability Analysis Using Matlab And Ai written by Dr. Cherry Bhargava and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-21 with Computers categories.
How to minimize the global problem of e-waste KEY FEATURES ● Explore core concepts of Reliability Analysis, various smart models, different electronic components, and practical use of MATLAB. ● Cutting edge coverage on building intelligent systems for reliability analysis. ● Includes numerous techniques and methods to identify failure and reliability parameters. DESCRIPTION Intelligent Reliability Analysis using MATLAB and AI explains a roadmap to analyze and predict various electronic components’ future life and performance reliability. Deeply narrated and authored by reliability experts, this book empowers the reader to deepen their understanding of reliability identification, its significance, preventive measures, and various techniques. The book teaches how to predict the residual lifetime of active and passive components using an interesting use case on electronic waste. The book will demonstrate how the capacity of re-usability of electronic components can benefit the consumer to reuse the same component, with the confidence of successful operations. It lists key attributes and ways to design experiments using Taguchi’s approach, based on various acceleration factors. This book makes it easier for readers to understand reliability modeling of active and passive components using the Artificial Neural Network, Fuzzy Logic, Adaptive Neuro-Fuzzy Inference System (ANFIS). The book keeps you engaged with a systematic and detailed explanation of step-wise MATLAB-based implementation of electronic components. These explanations and illustrations will help the readers to predict fault and failure well before time. WHAT YOU WILL LEARN ● Optimize various acceleration factors for exploring the residual life of components experimentally. ● Design an intelligent model to predict the upcoming faults and failures of electronic components and make provision for timely replacement of the fault components. ● Design experiments using Taguchi’s approach. ● Understand reliability modeling of active and passive components using the Artificial Neural Network and Fuzzy Logic. WHO THIS BOOK IS FOR This book is for current and aspiring emerging tech professionals, researchers, students, and anyone who wishes to understand and diagnose the product life of electronic components using the power of artificial intelligence and various experimental techniques. TABLE OF CONTENTS 1. RELIABILITY FUNDAMENTALS 2. RELIABILITY MEASURES 3. REMAINING USEFUL LIFETIME ESTIMATION TECHNIQUES 4. INTELLIGENT MODELS FOR RELIABILITY PREDICTION 5. ACCELERATED LIFE TESTING 6. EXPERIMENTAL TESTING OF ACTIVE AND PASSIVE COMPONENTS 7. INTELLIGENT MODELING FOR RELIABILITY ASSESSMENT USING MATLAB
Data Analytics Principles Tools And Practices
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Author : Gaurav Aroraa
language : en
Publisher: BPB Publications
Release Date : 2022-01-24
Data Analytics Principles Tools And Practices written by Gaurav Aroraa and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-24 with Antiques & Collectibles categories.
A Complete Data Analytics Guide for Learners and Professionals. KEY FEATURES ● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database. ● Dive into Machine Learning, its tools, and applications. ● Coverage of applications of Big Data, Data Analysis, and Business Intelligence. DESCRIPTION These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science. WHAT YOU WILL LEARN ● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. ● Learn to manage data warehousing with real time transaction processing. ● Explore various machine learning techniques that apply to data analytics. ● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry. ● Acquaint yourself with Big Data tools and statistical techniques for machine learning. WHO THIS BOOK IS FOR IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book. TABLE OF CONTENTS 1. Database Management System 2. Online Transaction Processing and Data Warehouse 3. Business Intelligence and its deeper dynamics 4. Introduction to Data Visualization 5. Advanced Data Visualization 6. Introduction to Big Data and Hadoop 7. Application of Big Data Real Use Cases 8. Application of Big Data 9. Introduction to Machine Learning 10. Advanced Concepts to Machine Learning 11. Application of Machine Learning
Kecerdasan Buatan
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Author : Pastima Simanjuntak
language : id
Publisher: Yayasan Tri Edukasi Ilmiah
Release Date : 2024-11-07
Kecerdasan Buatan written by Pastima Simanjuntak and has been published by Yayasan Tri Edukasi Ilmiah this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-07 with Computers categories.
Buku Ajar Kecerdasan Buatan ini disusun untuk menjadi panduan yang lengkap bagi mahasiswa, dosen, dan praktisi dalam memahami berbagai konsep dan penerapan kecerdasan buatan (AI). Buku ini dimulai dengan pengenalan dasar AI, mencakup pengertian, tujuan, serta perbedaannya dengan kecerdasan alami. Selanjutnya, pembaca diajak memahami peran penting algoritma dalam AI dan langkah-langkah analisis data yang menjadi inti dari proses pengembangan kecerdasan buatan. Pembahasan kemudian berlanjut ke berbagai teknik pencarian (searching) dan metode representasi pengetahuan, termasuk logika fuzzy dan sistem pakar yang membantu AI dalam mengambil keputusan. Di dalam buku ini, juga dijelaskan konsep dan jenis jaringan saraf tiruan serta algoritma genetika, yang merupakan pendekatan AI yang meniru pola biologis untuk menghasilkan solusi optimal. Tidak hanya teori, buku ini mengupas aspek aplikasi AI dalam dunia nyata, seperti di bidang bisnis, sistem operasi, dan e-commerce. Pembahasan mengenai tantangan, etika, serta masa depan AI juga diulas untuk memberikan wawasan kepada pembaca mengenai perkembangan teknologi ini di masa depan. Dengan struktur yang sistematis dan bahasa yang mudah dipahami, buku ini diharapkan menjadi referensi yang bermanfaat bagi para pembaca yang ingin mendalami dunia kecerdasan buatan.
Artificial Intelligence For Integrated Smart Energy Systems In Electric Vehicles
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Author : Surender Reddy Salkuti
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Artificial Intelligence For Integrated Smart Energy Systems In Electric Vehicles written by Surender Reddy Salkuti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Technology & Engineering categories.
This book provides a comprehensive exploration of cutting-edge research in electric vehicles (EVs) integrated smart energy systems with a main focus on the application of artificial intelligence (AI). This book offers a wide and comprehensive practical approach with the applications of AI to address the challenges and opportunities of modern hybrid energy systems for developing advanced hybrid intelligent methodologies for forecasting and scheduling variable power output from renewable energy sources (RESs) and EVs. This will enhance system flexibility and facilitate the integration of RESs and EVs efficiently, which is a step towards a sustainable future. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc. This book aims to provide insights into various suitable solutions to increase the security, reliability, and interoperability of the grid under high penetration of renewable energy, storage systems, and electric transport in the context of the modern smart grid. The multi-objective optimization problems such as economic and emission dispatch problems; flexibility and reliability problems; and economic and reliability problems are solved to determine the trade-off solutions using efficient evolutionary algorithms. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), IoT, Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc.
Green And Intelligent Technologies For Sustainable And Smart Asphalt Pavements
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Author : Xueyan Liu
language : en
Publisher: CRC Press
Release Date : 2021-12-24
Green And Intelligent Technologies For Sustainable And Smart Asphalt Pavements written by Xueyan Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-24 with Technology & Engineering categories.
Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements contains 124 papers from 14 different countries which were presented at the 5th International Symposium on Frontiers of Road and Airport Engineering (IFRAE 2021, Delft, the Netherlands, 12-14 July 2021). The contributions focus on research in the areas of "Circular, Sustainable and Smart Airport and Highway Pavement" and collects the state-of-the-art and state-of-practice areas of long-life and circular materials for sustainable, cost-effective smart airport and highway pavement design and construction. The main areas covered by the book include: • Green and sustainable pavement materials • Recycling technology • Warm & cold mix asphalt materials • Functional pavement design • Self-healing pavement materials • Eco-efficiency pavement materials • Pavement preservation, maintenance and rehabilitation • Smart pavement materials and structures • Safety technology for smart roads • Pavement monitoring and big data analysis • Role of transportation engineering in future pavements Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements aims at researchers, practitioners, and administrators interested in new materials and innovative technologies for achieving sustainable and renewable pavement materials and design methods, and for those involved or working in the broader field of pavement engineering.
Uncertainty And Artificial Intelligence
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Author : Abdelkhalak El Hami
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-04
Uncertainty And Artificial Intelligence written by Abdelkhalak El Hami and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.
Today's information technology, along with Artificial Intelligence (AI), is moving towards total communication between all computerized systems. AI is a representation of human intelligence based on the creation and application of algorithms in specific computer environments. Its aim is to enable computers to act like human beings. For it to work, this type of technology requires computer systems, data with management systems and advanced algorithms, used by AI. In mechanical engineering, AI can offer many possibilities: in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration control and agro composites, among many others. This book is dedicated to Artificial Intelligence uncertainties in mechanical problems. Each chapter clearly sets out used and developed illustrative examples. Aimed at students, Uncertainty and Artificial Intelligence is also a valuable resource for practicing engineers and research lecturers.
Applications Of Artificial Intelligence And Machine Learning
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Author : Bhuvan Unhelker
language : en
Publisher: Springer Nature
Release Date : 2022-09-13
Applications Of Artificial Intelligence And Machine Learning written by Bhuvan Unhelker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Computers categories.
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Proceedings Of 2024 Chinese Intelligent Systems Conference
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Author : Yingmin Jia
language : en
Publisher: Springer Nature
Release Date : 2024-10-31
Proceedings Of 2024 Chinese Intelligent Systems Conference written by Yingmin Jia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.
This book constitutes the proceedings of the 20th Chinese Intelligent Systems Conference, CISC 2024, which was held on October 26–27, 2024, in Guilin, Guangxi, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behaviour, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of flying vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.
Machine Learning In Earth Environmental And Planetary Sciences
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Author : Hossein Bonakdari
language : en
Publisher: Elsevier
Release Date : 2023-07-03
Machine Learning In Earth Environmental And Planetary Sciences written by Hossein Bonakdari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Science categories.
Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data. The book provides guided examples using real-world data for numerous novel and mathematically detailed machine learning techniques that can be applied in Earth, environmental, and planetary sciences, including detailed MATLAB coding coupled with line-by-line descriptions of the advantages and limitations of each method. The book also presents common postprocessing techniques required for correct data interpretation. This book provides students, academics, and researchers with detailed understanding of how machine learning algorithms can be applied to solve real case problems, how to prepare data, and how to interpret the results. - Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary data - Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes - Includes numerous figures, illustrations and tables to help readers better understand the concepts covered
Intelligent Human Computer Interaction
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Author : Jong-Hoon Kim
language : en
Publisher: Springer Nature
Release Date : 2022-03-19
Intelligent Human Computer Interaction written by Jong-Hoon Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-19 with Computers categories.
This volume constitutes the refereed proceedings of the 13th International Conference on Intelligent Human Computer Interaction, IHCI 2021, which took place in Kent, OH, USA, in December 2021. The 59 full and 9 short papers included in these proceedings were carefully reviewed and selected from a total of 142 submissions. The papers were organized in topical sections named human centered AI; and intelligent interaction and cognitive computing