S. Ramesh - Böcker

Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods.

Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention.

Provides detailed case studies of how machine intelligence has been used in mechanical engineering applicationsIncludes a basic introduction to machine learning algorithms and their implementationAddresses innovative applications of AR/VR technology in mechanical engineering

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into various use cases where deep learning is applied in industrial, social, and personal contexts within the biomedical domain. By gaining a comprehensive understanding of deep learning in biomedical data analysis, readers will develop the skills to critically evaluate research papers, methodologies, and emerging trends. In 11 chapters, this book provides insights into the fundamentals of the latest research trends in the applications of deep learning in biosciences. With several case studies and use cases, it familiarizes the reader with a comprehensive understanding of deep learning algorithms, architectures, and methodologies speci cally applicable to biomedical data analysis. This title is an ideal reference for researchers across the biomedical sciences.Provides a succinct overview of the cutting-edge technologies that are altering disease diagnosis, patient monitoring, and medical researchBridges the gap between biomedical engineering and deep learning by providing a comprehensive resource for comprehending the intersection of these disciplinesInvestigates how deep learning may change healthcare by providing new insights, diagnostics, and treatments via intelligent biomedical systems

Stay ahead of the technological curve with this comprehensive, practical guide that showcases how the fusion of quantum principles and soft computing is delivering transformative solutions across finance, healthcare, and manufacturing. Quantum-Inspired Approaches for Intelligent Data Processing explores the cutting-edge fusion of quantum computing principles and soft computing techniques, unraveling the synergistic potential of these two paradigms. The book uses a comprehensive interdisciplinary approach, delving into the foundations of quantum mechanics and soft computing essentials, including fuzzy logic, genetic algorithms, and neural networks. Distinctive in its practical focus, the book showcases how this integration enhances intelligent data processing across various industries, offering tangible solutions to complex challenges. Through real-world applications, this book illuminates the transformative impact of quantum-inspired soft computing across multiple industries, from finance and healthcare to manufacturing. It incorporates case studies, examples, and market analyses, providing a holistic understanding of the subject and exploring emerging trends, challenges, and future opportunities, making it an invaluable resource for researchers and industrialists navigating the dynamic intersection of quantum computing and soft computing in intelligent data processing.

This volume brings out the proceedings of the workshop “Next Generation Design and Veri?cation Methodologies for Distributed Embedded Control Systems” c- ducted by General Motors R&D, India Science Lab, Bangalore. This workshop is the ?rst of its kind to be organised by an automotive Original Equipment Manufacturer (OEM) to bring together the experts in the ?eld of embedded systems development to present state-of-the-art work, and to discuss future strategies for addressing the increasing complexity of embedded control systems. The theme of the workshop is an important focus area for the current and future automotive systems. Embedded Control Systems are growing in complexity with the increased use of electronics and software in high-integrity applications for automotive and aerospace domains. In these domains, they provide for enhanced safety, automation and c- fort. Such embedded control systems are distributed, fault-tolerant, real-time systems with hybrid (discrete and continuous) behaviour. Furthermore, many of the control functions, such as by-wire controls, have stringent performance and high-integrity requirements. The research community has been addressing these challenges, and over the last few years, several design methodologies and tools for developing distributed emb- ded control systems have emerged. In spite of these, development of embedded c- trol applications remains a daunting task, requiring a great degree of human skill, expertise, time, and effort. It is imperative to invest signi?cant R&D effort in coming up with methods and tools for future embedded control applications.

This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of technical aspects (including perception, localization and navigation, motion control, etc.) and application domains (including automobile, aerospace, etc.), presents major challenges and discusses possible solutions.

This book constitutes the refereed proceedings of the 17th International Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS'97. The 18 revised full papers presented were selected from a total of 68 submissions. Also included are five invited papers by Ed Clarke, Deepak Kapur, Madhu Sudan, Vijaya Ramachandran, and Moshe Vardi. Among the topics addressed are concurrency, Petri nets, graph computations, program verification, model checking, recursion theory, rewriting, and error-correcting codes.

This volume brings out the proceedings of the workshop “Next Generation Design and Veri?cation Methodologies for Distributed Embedded Control Systems” c- ducted by General Motors R&D, India Science Lab, Bangalore. This workshop is the ?rst of its kind to be organised by an automotive Original Equipment Manufacturer (OEM) to bring together the experts in the ?eld of embedded systems development to present state-of-the-art work, and to discuss future strategies for addressing the increasing complexity of embedded control systems. The theme of the workshop is an important focus area for the current and future automotive systems. Embedded Control Systems are growing in complexity with the increased use of electronics and software in high-integrity applications for automotive and aerospace domains. In these domains, they provide for enhanced safety, automation and c- fort. Such embedded control systems are distributed, fault-tolerant, real-time systems with hybrid (discrete and continuous) behaviour. Furthermore, many of the control functions, such as by-wire controls, have stringent performance and high-integrity requirements. The research community has been addressing these challenges, and over the last few years, several design methodologies and tools for developing distributed emb- ded control systems have emerged. In spite of these, development of embedded c- trol applications remains a daunting task, requiring a great degree of human skill, expertise, time, and effort. It is imperative to invest signi?cant R&D effort in coming up with methods and tools for future embedded control applications.

The primary aim of this monograph is to present the current research efforts that have gone into/or going on in the systematic design of real-time programs. Such an effort would help researchers and users in the area to get a clear picture of the issues of specification, verification and design of real-time reactive programs. It will clearly enable us to identify languages that can be used for different kinds of applications. Obviously, in an upcoming area like this, this presentation is far from complete.The quintessence of the monograph can be captured by the following question:How can we design and develop Robust Reactive (real-time) Programs?We address this question in this monograph through the various underlying issues listed, such as characteristics of real-time/reactive programs, reactive programming languages, verification and refinements.

This book covers topics related to structural composite materials such as processing, characterization, applications and challenges.

This book covers topics related to structural composite materials such as processing, characterization, applications and challenges.