Machine Learning Support For Fault Diagnosis Of System On Chip
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Machine Learning Support For Fault Diagnosis Of System On Chip
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Author : Patrick Girard
language : en
Publisher: Springer Nature
Release Date : 2023-03-13
Machine Learning Support For Fault Diagnosis Of System On Chip written by Patrick Girard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Technology & Engineering categories.
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
Advancing Vlsi Through Machine Learning
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Author : Abhishek Narayan Tripathi
language : en
Publisher: CRC Press
Release Date : 2025-03-31
Advancing Vlsi Through Machine Learning written by Abhishek Narayan Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Technology & Engineering categories.
This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures. This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing. This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.
Lecture Notes In Analog Electronics
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Author : Vančo B. Litovski
language : en
Publisher: Springer Nature
Release Date : 2025-01-17
Lecture Notes In Analog Electronics written by Vančo B. Litovski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Technology & Engineering categories.
Prof. Vančo Litovski was born in 1947 in Rakita, South Macedonia, Greece. He graduated from the Faculty of Electronic Engineering in Niš in 1970 and obtained his M.Sc. in 1974 and his Ph.D. in 1977. He was appointed as a teaching assistant at the Faculty of Electronic Engineering in 1970 and became a full professor at the same faculty in 1987. He was elected as a visiting professor (honoris causa) at the University of Southampton in 1999. From 1987 until 1990, he was a consultant to the CEO of Ei and was the head of the Chair of Electronics at the Faculty of Electronic Engineering in Niš for 12 years. From 2015 to 2017, he was a researcher at the University of Bath.. He received several awards including from the Faculty of Electronic Engineering (Charter in 1980, Charter in 1985, and a Special Recognition in 1995) and the University of Niš (Plaque 1985).
Computational Intelligence For Cybersecurity Management And Applications
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Author : Yassine Maleh
language : en
Publisher: CRC Press
Release Date : 2023-04-28
Computational Intelligence For Cybersecurity Management And Applications written by Yassine Maleh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.
Machine Learning Paradigms
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Author : George A. Tsihrintzis
language : en
Publisher: Springer
Release Date : 2019-07-06
Machine Learning Paradigms written by George A. Tsihrintzis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-06 with Computers categories.
This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.
Water Quality Monitoring And Management
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Author : Daoliang Li
language : en
Publisher: Academic Press
Release Date : 2018-10-11
Water Quality Monitoring And Management written by Daoliang Li and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-11 with Science categories.
Water Quality Monitoring and Management: Basis, Technology and Case Studies presents recent innovations in operations management for water quality monitoring. It highlights the cost of using and choosing smart sensors with advanced engineering approaches that have been applied in water quality monitoring management, including area coverage planning and sequential scheduling. In parallel, the book covers newly introduced technologies like bulk data handling techniques, IoT of agriculture, and compliance with environmental considerations. Presented from a system engineering perspective, the book includes aspects on advanced optimization, system and platform, Wireless Sensor Network, selection of river water quality, groundwater quality detection, and more. It will be an ideal resource for students, researchers and those working daily in agriculture who must maintain acceptable water quality. - Discusses field operations research and application in water science - Includes detection methods and case analysis for water quality management - Encompasses rivers, lakes, seas and groundwater - Covers water for agriculture, aquaculture, drinking and industrial uses
Artificial Intelligence And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-18
Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna 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 2024-07-18 with Computers categories.
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
Autonomous Vehicle Technology
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Author : Mingfang Du
language : en
Publisher: Springer Nature
Release Date : 2022-09-23
Autonomous Vehicle Technology written by Mingfang Du and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-23 with Technology & Engineering categories.
The subject of this book is artificial intelligence (AI), introducing the fast road sensing algorithm and system based on image pattern recognition for unmanned vehicle, especially for traffic sign recognition and complex road recognition. With rich figures and credible data, this book systematically and comprehensively describes the core technology and industrialization focus of today's unmanned vehicle system, which can be used as a reference for R & D Engineers and industrialization practitioners of unmanned vehicle, and it can also be used as a teaching material for higher grades and postgraduates in colleges and universities.
Smart Micro And Nanomaterials For Pharmaceutical Applications
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Author : Ajit Behera
language : en
Publisher: CRC Press
Release Date : 2024-08-27
Smart Micro And Nanomaterials For Pharmaceutical Applications written by Ajit Behera and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Technology & Engineering categories.
Smart drug delivery refers to a targeted drug delivery or precision drug delivery system that allows drugs to be administered to a specific location in the body or at a specific time with enhanced precision and control. This approach has several advantages, including maximizing the therapeutic effects of a drug while minimizing side effects. This book presents various stimuli-responsive micro- and nanomaterials for pharmaceutical industries. This volume: Covers the global market perspective of micro- and nano-smart materials in pharmaceutical industries. Details various processing routes. Discusses mechanisms for target release. Addresses applications in oral drug delivery, anticancer agents, anti-tumor drug delivery, and drugs for management of infection. This reference work is written to support researchers in the fields of materials engineering and biotechnology with the goal of improving the diagnosis and treatment of disease and patient quality of life.
Intelligent Retail And Manufacturing Systems Artificial Intelligence Driven Oss Bss Solutions And Infrastructure Innovations
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Author : Shabrinath Motamary
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10
Intelligent Retail And Manufacturing Systems Artificial Intelligence Driven Oss Bss Solutions And Infrastructure Innovations written by Shabrinath Motamary and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
The digital transformation of retail and manufacturing industries is accelerating at an unprecedented pace, driven by advances in Artificial Intelligence (AI), Machine Learning, and Cloud Computing. In this context, the role of Operational Support Systems (OSS) and Business Support Systems (BSS) has become increasingly critical to enabling smart manufacturing, real-time retail analytics, and agile business models. This book presents a comprehensive examination of how intelligent systems are redefining the future of enterprise operations. Focusing on the integration of AI-driven solutions in domains such as predictive billing, customer relationship management (CRM), enterprise resource planning (ERP), and supply chain optimization, this volume offers readers a well-rounded understanding of both foundational concepts and cutting-edge applications. Through a balanced blend of theory and practice, the book explores how Industry 4.0 technologies,such as data governance, business intelligence, and process automation, are reshaping retail and manufacturing infrastructures. Each chapter explore key areas like digital transformation strategies, data management, CRM automation, and intelligent customer lifecycle management, emphasizing the need for scalable and interoperable systems that enhance operational efficiency and customer satisfaction. By integrating insights from both academic research and industry practice, this book serves as a valuable resource for professionals, scholars, and innovators aiming to harness AI for competitive advantage.