Abhishek Sharma – författare

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

Computational Tools for Energy Harvesting Applications presents the latest applications of energy harvesting methods for renewable energy systems. The book provides readers with the computational tools and algorithms for energy harvesting, explaining the mathematical basis behind their development and application and analyzing the latest developments. Each chapter provides a review of the fundamentals and basic theory behind each energy harvester, the working principles, and the latest practical applications.The mathematical techniques and computational tools are provided for response analysis and optimization of diverse energy harvesters, including from fixed renewable energy systems – wind, solar, etc. – and portable devices such as PEM fuel cells. This is a valuable reference for students and researchers working in the field of renewable energy harvesting and its application, as well as electrical and mechanical engineers.

Metaheuristics-Based Materials Optimization: Enhancing Materials Applications provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materials. The book fuses optimization algorithms with materials engineering, enabling more accurate simulations and models for analyzing and predicting the behavior of materials under different conditions, allowing for design of materials with improved performance, durability, energy efficiency, cost-effectiveness, and other desired characteristics. Metaheuristic approaches for material synthesis and design, structural optimization, material characterization, property prediction, and process optimization are all covered, as are comparisons of different algorithms, step-by-step guidelines on how to implement them, and case studies of them being applied in real-world settings.Provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materialsPresents real-world case studies as well as commonly encountered problems and their solutionsAllows for more accurate modeling, better material design, and development of materials tailored for specific applications

The text comprehensively discusses the fundamental aspects of human–computer interaction, and applications of artificial intelligence in diverse areas including disaster management, smart infrastructures, and healthcare. It employs a solution-based approach in which recent methods and algorithms are used for identifying solutions to real-life problems.This book:Discusses the application of artificial intelligence in the areas of user interface development, computing power analysis, and data managementUses recent methods/algorithms to present solution-based approaches to real-life problems in different sectorsShowcases the applications of artificial intelligence and automation techniques to respond to disaster situationsCovers important topics such as smart intelligence learning, interactive multimedia systems, and modern communication systemsHighlights the importance of artificial intelligence for smart industrial automation and systems intelligenceThe book elaborates on the application of artificial intelligence in user interface development, computing power analysis, and data management. It explores the use of human–computer interaction for intelligence signal and image processing techniques. The text covers important concepts such as modern communication systems, smart industrial automation, interactive multimedia systems, and machine learning interface for the internet of things. It will serve as an ideal text for senior undergraduates, and graduate students in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future.Salient Features:The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance.A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications.Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems.This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologiesThis book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.

The text comprehensively discusses the fundamental aspects of human–computer interaction, and applications of artificial intelligence in diverse areas including disaster management, smart infrastructures, and healthcare. It employs a solution-based approach in which recent methods and algorithms are used for identifying solutions to real-life problems.This book:Discusses the application of artificial intelligence in the areas of user interface development, computing power analysis, and data managementUses recent methods/algorithms to present solution-based approaches to real-life problems in different sectorsShowcases the applications of artificial intelligence and automation techniques to respond to disaster situationsCovers important topics such as smart intelligence learning, interactive multimedia systems, and modern communication systemsHighlights the importance of artificial intelligence for smart industrial automation and systems intelligenceThe book elaborates on the application of artificial intelligence in user interface development, computing power analysis, and data management. It explores the use of human–computer interaction for intelligence signal and image processing techniques. The text covers important concepts such as modern communication systems, smart industrial automation, interactive multimedia systems, and machine learning interface for the internet of things. It will serve as an ideal text for senior undergraduates, and graduate students in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

The main aim of the 2nd international conference on recent advances in materials manufacturing and machine learning processes-2023 (RAMMML-23) is to bring together all interested academic researchers, scientists, engineers, and technocrats and provide a platform for continuous improvement of manufactur□ing, machine learning, design and materials engineering research. RAMMML 2023 received an overwhelm□ing response with more than 530 full paper submissions. After due and careful scrutiny, about 120 of them have been selected for presentation. The papers submitted have been reviewed by experts from renowned institutions, and subsequently, the authors have revised the papers, duly incorporating the suggestions of the reviewers. This has led to significant improvement in the quality of the contributions, Taylor & Francis publications, CRC Press have agreed to publish the selected proceedings of the conference in their book series of Advances in Mechanical Engineering and Interdisciplinary Sciences. This enables fast dissemina□tion of the papers worldwide and increases the scope of visibility for the research contributions of the authors.

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future.Salient Features:The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance.A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications.Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems.This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologiesThis book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.

This edited volume brings together diverse perspectives on machine learning and AI applications in optical and wireless systems, offering a structured and comprehensive resource for researchers and professionals. It explores advancements driven by 5G, IoT, and the increasing demand for high-speed, reliable communication. Covering optical fiber systems, wireless networks, and AI-driven optimizations, the book provides insights into real-world applications impacting telecommunications, healthcare, and transportation.The contributing authors discuss key topics such as signal processing techniques, optimization algorithms, and deep learning models applied to optical and wireless networks. The volume also highlights emerging challenges, security concerns, and future trends in AI-powered communication systems. This resource is essential for professionals in electrical and computer engineering, telecommunications, and computer science, helping them stay ahead in these rapidly evolving technologies.

This book provides an overview of clinical ophthalmology using the logical, stepwise format of mind maps. It is an excellent rapid-revision tool, suitable for medical students, ophthalmology trainees, orthoptists, optometrists, general practitioners and other health professionals.

Production and operations management applies business concepts to create goods and services. Production and Operations Management is an essential guide for anyone seeking to understand the concepts and principles that underpin the efficient management of production processes. The book explores key topics such as inventory management, quality control, and supply chain management, with real-world examples and case studies to illustrate their practical application. With a focus on continuous improvement and the latest technological advancements, the book offers a comprehensive overview of the field of production and operations management.

This book aims to introduce the concepts and practices of knowledge management within organizations. It covers the creation, sharing, and utilization of knowledge, as well as the tools and technologies that support these processes. Topics include knowledge management systems, organizational learning, and intellectual capital. The book provides insights into how effective knowledge management can lead to competitive advantage. It is designed for both students and practitioners in the fields of business and information systems.

This book aims to equip students with quantitative tools and techniques for effective decision-making in management. Topics include linear programming, forecasting, inventory management, and simulation. The book emphasizes the application of quantitative methods to solve real-world business problems. Case studies and practical examples illustrate the use of quantitative analysis in various management contexts. Suitable for undergraduate and graduate courses, it provides a solid foundation in quantitative decision-making.

Sustainability has become a defining business imperative, as organizations are now expected to align profitability with social and environmental responsibility. Integrating ethical practices into business strategies creates long-term value for both companies and communities. Sustainable Business Practices and Social Responsibility explores the principles of corporate sustainability, environmental management, and ethical leadership. The book discusses topics such as the triple bottom line, green innovation, and stakeholder engagement. It also highlights global sustainability initiatives and reporting standards. With its blend of theory and case studies, it guides business leaders in embedding responsible practices that support both competitive advantage and global well-being.

The study of political economy bridges economics and politics, exploring how power, institutions, and markets shape resource distribution and social welfare. It provides insights into how economic systems evolve under different political structures. Political Economy in the Modern World examines classical and contemporary theories of economic governance and global development. The book discusses capitalism, socialism, globalization, and economic inequality. It also explores the influence of international institutions such as the IMF and WTO on national economies. Combining historical analysis with current debates, it provides a comprehensive understanding of how politics and economics interact in shaping global society.

Develop real-world interactive physical computing applications using the Micro:bit with more than 100 MicroPython examples with circuit diagramsKey FeaturesExplore hardware programming and leverage the power of the BBC Micro:bit and MicroPythonBuild real-life creative projects step by step with each chapter increasing in complexity and interactivityLearn the features of the Micro:bit and how to interface it with electronic components through circuits and code examplesBook DescriptionThis book is a one-stop guide for learning BBC Micro:bit with MicroPython, exploring many hardware components and programming techniques to provide detailed insights into developing practical applications with the Micro:bit. It will also show you how hardware components can be manipulated using a combination of Micro:bit and MicroPython for developing practical projects. BBC Micro:bit in Practice will help you gain a holistic understanding of the BBC Micro:bit platform and MicroPython programming, guiding you through mini projects aimed at developing practical knowledge of circuit design and writing programs. You’ll learn how to write programs for working with built-in LEDs and buttons, interfacing external LEDs, buttons, motors, buzzers, and much more. You’ll also work with built-in radio, speakers, accelerometer, and a compass. You’ll dive into concepts related to the Micro:bit filesystem, interfacing external displays, and working with libraries in detail before exploring sewable circuits and wearable technology.After reading this Micro:bit book, you’ll understand how to apply principles in electronics and MicroPython to create interesting real-life projects from scratch.What you will learnExplore the essentials of the BBC Micro:bit, its hardware specifications, and versionsProgram built-in and external LEDs and buttonsProgram external LED-based displays, buzzers, and stepper motorsUse analog input and pulse width modulation to drive a servo motorDetect gestures with internal sensors such as accelerometer, compass, and magnetometerWork on projects with built-in features such as music, speech, radio, and filesystemExplore the advanced features of the Micro:bitWho this book is forThis book is for anyone who wants to use the combination of MicroPython and the BBC Micro:bit for building exciting real-life projects. Engineers, researchers, hobbyists, and technology instructors working in areas such as embedded systems, electronics, software development, IoT, robotics, teaching, and training will find this book useful for building projects. Prior experience with building basic electronic circuits and any programming language, not necessarily MicroPython, will be helpful.

Natural disasters such as earthquakes, floods, landslides, and extreme weather events pose serious threats to industrial operations, leading to disruptions, infrastructure damage, and financial losses. With increasing climate variability, industries must adopt proactive risk assessment and mitigation strategies to enhance resilience and ensure business continuity.This book offers a comprehensive framework for assessing and mitigating natural hazard risks in industrial environments through Industrial Internet of Things (IIoT) technologies. It examines real-time monitoring, sensor networks, remote sensing, and automated control systems to strengthen early warning mechanisms and disaster response. Presented as a step-by-step guide, the book addresses industrial vulnerability, hazard-specific risks, IIoT integration for smart monitoring, and resilience planning for infrastructure and supply chains. It combines actionable strategies with case studies and best practices to help safeguard industries against natural hazards.Designed for industrial safety experts, disaster risk managers, environmental planners, policymakers, and researchers, this resource equips readers with the tools to build disaster-proof operations - whether shaping policy, designing resilient infrastructure, or managing industrial safety.

Due to their biodegradability, renewability and superior lubrication performance compared to commercial fossil lubricants, vegetable oils are becoming substitutes for petroleum-based lubricants in different sectors, especially in the automotive industry. Biolubricants covers feedstocks, physicochemical properties, process to chemically alter raw oils from feedstocks, lubrication characteristics, as well as the additives to enhance properties.

The global transition toward renewable energy is imperative for a sustainable future. As the demand for cleaner and more efficient energy sources grows, the role of advanced materials, particularly sustainable and natural polymers, has become increasingly significant. These materials offer innovative solutions for improving energy generation, storage, and efficiency while reducing environmental impact. From lightweight composites enhancing wind turbine performance to biodegradable polymers optimizing energy storage devices, sustainable materials are reshaping the landscape of energy technology. The book explores the transformative potential of bio-based and eco-friendly materials in various renewable energy applications. Through in-depth discussions, the book highlights key advancements in polymer science, including biodegradable materials for solar panels, bio-based catalysts for bioenergy production, and self-healing coatings for energy devices. Additionally, it delves into innovative recycling methods and resource management strategies that enhance the lifecycle of renewable technologies.