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.

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:

The 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 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:

The 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.

Energy demand is continuously rising, mainly due to population growth and rapid economic development. There are substantial worries about the environmental effects of fossil fuels in addition to the uncertainties surrounding the long-term sustainability of non-renewable energy sources. Environmental safety concerns are driving an increase in the demand for renewable energy production. Numerous efforts have been paid to harvest energy from ambient sources, e.g. solar, wind, thermal, hydro, mechanical, etc.

This book discusses the application of artificial intelligence (AI) for energy harvesting. The implementation of metaheuristics and AL algorithms in the field of energy harvesting system will provide a quick start for the researchers and engineers who are new to this area. Energy harvesting technologies are growing very speedily, hence it is necessary to summarize recent advances in energy harvesting methodology.

Over the recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the performance modelling and evaluation of energy harvesting technologies. This book is the result of a collaborative effort among different researchers in the fields of energy harvesting and artificial intelligence.

Technical topics discussed in the book include:

Energy demand is continuously rising, mainly due to population growth and rapid economic development. There are substantial worries about the environmental effects of fossil fuels in addition to the uncertainties surrounding the long-term sustainability of non-renewable energy sources. Environmental safety concerns are driving an increase in the demand for renewable energy production. Numerous efforts have been paid to harvest energy from ambient sources, e.g. solar, wind, thermal, hydro, mechanical, etc.

This book discusses the application of artificial intelligence (AI) for energy harvesting. The implementation of metaheuristics and AL algorithms in the field of energy harvesting system will provide a quick start for the researchers and engineers who are new to this area. Energy harvesting technologies are growing very speedily, hence it is necessary to summarize recent advances in energy harvesting methodology.

Over the recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the performance modelling and evaluation of energy harvesting technologies. This book is the result of a collaborative effort among different researchers in the fields of energy harvesting and artificial intelligence.

Technical topics discussed in the book include:

"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:

This 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.

"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:

This 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.

As the demand for energy harvesting and storage devices grows, this book will be valuable for researchers to learn about the most current achievements in this sector.

Sustainable development systems are centered on three pillars: economic development, environmental stewardship, and social. One of the ideas established to achieve balance between these pillars is to minimize the usage of nonrenewable energy sources. Harvesting energy from the surrounding environment and converting it into electrical power is one viable solution to this problem. In recent years, there has been a surge in the development of new energy generation technologies such as solar, wind, and thermal energy to replace fossil fuel energy supplies with cleaner renewable ones. Energy harvesting systems have emerged as a key study topic and are rapidly expanding.

As the demand for energy harvesting and storage devices grows, this book will be valuable for researchers to learn about the most current achievements in this sector.

Sustainable development systems are centered on three pillars: economic development, environmental stewardship, and social. One of the ideas established to achieve balance between these pillars is to minimize the usage of nonrenewable energy sources. Harvesting energy from the surrounding environment and converting it into electrical power is one viable solution to this problem. In recent years, there has been a surge in the development of new energy generation technologies such as solar, wind, and thermal energy to replace fossil fuel energy supplies with cleaner renewable ones. Energy harvesting systems have emerged as a key study topic and are rapidly expanding.

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 manufacturâ–¡ing, machine learning, design and materials engineering research. RAMMML 2023 received an overwhelmâ–¡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 disseminaâ–¡tion of the papers worldwide and increases the scope of visibility for the research contributions of the authors.

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 manufacturâ–¡ing, machine learning, design and materials engineering research. RAMMML 2023 received an overwhelmâ–¡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 disseminaâ–¡tion of the papers worldwide and increases the scope of visibility for the research contributions of the authors.