Abhinav 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 focuses on the theory, design, and implementation of the Internet of Things (IoT), in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology. Features: Presents all the necessary information on the Internet of Things in modern computing Examines antenna integration challenges and constraints in the Internet of Things devices Discusses advanced Internet of Things networks and advanced controllers required for modern architecture Explores security and privacy challenges for the Internet of Things-based health care system Covers implementation of Internet of Things security protocols such as MQTT, Advanced Message Queuing Protocol, XMPP, and DSSThe text addresses the issues and challenges in implementing communication and security protocols for IoT in modern computing. It further highlights the applications of IoT in diverse areas including remote health monitoring, remote monitoring of vehicle data and environmental characteristics, industry 4.0, 5G communications, and Next-gen IoT networks. The text presents case studies on IoT in modern digital computing. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.Focuses on the integration of smart technology including artificial intelligence and sustainable energyCovers recent advancements in energy management techniques used in residential and commercial energy systemsHighlights the use of artificial intelligence, machine learning, and their applications in sustainable energyDiscusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosisPresents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energyThe text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.Focuses on the integration of smart technology including artificial intelligence and sustainable energyCovers recent advancements in energy management techniques used in residential and commercial energy systemsHighlights the use of artificial intelligence, machine learning, and their applications in sustainable energyDiscusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosisPresents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energyThe text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

The text focuses on the theory, design, and implementation of the Internet of Things (IoT), in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology. Features: Presents all the necessary information on the Internet of Things in modern computing Examines antenna integration challenges and constraints in the Internet of Things devices Discusses advanced Internet of Things networks and advanced controllers required for modern architecture Explores security and privacy challenges for the Internet of Things-based health care system Covers implementation of Internet of Things security protocols such as MQTT, Advanced Message Queuing Protocol, XMPP, and DSSThe text addresses the issues and challenges in implementing communication and security protocols for IoT in modern computing. It further highlights the applications of IoT in diverse areas including remote health monitoring, remote monitoring of vehicle data and environmental characteristics, industry 4.0, 5G communications, and Next-gen IoT networks. The text presents case studies on IoT in modern digital computing. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Antennas are an important component of every communication systems, including radio, television, satellite, radar, and cellular networks which transmits and receive radio waves over the wireless channel. The field of antenna is quite vast, and with the current development in the wireless technologies enormous amount of work and effort has been put in the design, analysis, and applications of antennas. As an individual, a reader has to put a lot of effort to understand the modern antenna analysis and design for various applications. Therefore, the editors and authors of this book have come-up with an idea of putting all the necessary information required at one centralized place in the form of a book. The readers of this book will be able to access all the necessary information of antennas, from basic to advanced, theory to practical and its modern applications. The text provides information on antenna design for next generation communication systems and IoT applications, followed by the integration of the antennas in the wireless system, and also covers multi-input and multi-output (MIMO) antennas, metasurface antennas, reconfigurable antennas, fractal antennas and design of beamforming networks.This book:Focuses on modern antennas for 5G communication systems and next-generation Internet of Things (IoT) networksHighlights fractal radiator-based printed linear antenna arrays designed for direct broadcast satellite applications with a particular focus on direct-to home (DTH) servicesCovers the implementation of modern swarm intelligence optimization techniques for antenna array pattern synthesis Includes general framework for the design and optimization of metasurface antennasPresents design and development of high-gain millimeter-wave beam switching antennas using passive frequency selective surfaces (FSS)This book can also serve as a valuable reference for undergraduate, post-graduate students, as well as researchers working in radio frequency (RF) and microwave.

Smart technologies such as artificial intelligence, machine learning, and computer intelligence are shaping the future of Industry 5.0. This book delves into emerging technologies that integrate human-centric approaches with AI-driven automation, addressing key innovations in deep learning, augmented reality and IoT. Through real-world applications across industries such as healthcare, robotics, and automation, this comprehensive guide provides insights into how intelligent systems are revolutionizing efficiency, decision-making, and human-machine collaboration in the digital era.This book:Serves as a critical resource for understanding and navigating the evolving landscape of intelligent technologies in Industry 5.0Provides necessary information on technological developments in the computer intelligence and their role in industrial revolution 5.0.Contains information on digital twin technology and its application in autonomous vehicles, augmented reality, advances in health care and drone technology to name a few.It is primarily written for undergraduate, post-graduate students, as well as researchers working in the area of smart technologies which are an integral part of industrial revolution 5.0.

This book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences. It includes high-quality research papers from the 7th International Conference on Intelligent Communication, Control, and Devices (ICICCD 2025), organized by the Department of Electrical & Electronics Engineering, School of Advanced Engineering, at UPES, Dehradun, India, during June 19–20, 2025. The topics covered are a range of recent advances in intelligent communication, intelligent control, intelligent devices, and sustainable technologies.

This book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences. It includes high-quality research papers from the 7th International Conference on Intelligent Communication, Control, and Devices (ICICCD 2025), organized by the Department of Electrical & Electronics Engineering, School of Advanced Engineering, at UPES, Dehradun, India, during June 19–20, 2025. The topics covered are a range of recent advances in intelligent communication, intelligent control, intelligent devices, and sustainable technologies.

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.

The COVID-19 pandemic has hit the global at a colossal scale. With worldwide reported cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious disease, it has given global health services their most severe challenge. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown, which has become the main defence mechanism. Researchers are working around the clock to find a breakthrough in the diagnostics and treatment of the pandemic.AI technology is useful for fast drug development and treatment. In the starting phase of COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network model have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses.Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 is aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that appropriate amount of health infrastructure can be made available to these places.

The COVID-19 pandemic has hit the global at a colossal scale. With worldwide reported cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious disease, it has given global health services their most severe challenge. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown, which has become the main defence mechanism. Researchers are working around the clock to find a breakthrough in the diagnostics and treatment of the pandemic.AI technology is useful for fast drug development and treatment. In the starting phase of COVID-19 pandemic, the medical fraternity in China diagnosed the virus using computed tomography (CT) and X-ray images due to the limitation of testing kits. Deep learning neural network model have also been used for COVID-19 diagnosis. AI assisted intelligent humanoid robots can be used to reduce the human contact and spread of COVID-19. In Italy robots have been used for measuring blood pressure, oxygen saturation and temperature of patients. Robots have also found applications in disinfecting and sterilizing of public places, COVID-19 testing, food and medicine delivery as well as entertaining patients in hospitals and quarantine centers, thereby reducing the workload of doctors and nurses.Prediction of the spread of virus and providing the guidelines or prevention measures is another AI application in COVID-19. Kaggle and GitHub are the two websites where the real-time data of COVID-19 is aggregated. This includes confirmed cases, active cases, cured cases and deaths in each country. This data set can be used for predicting the active cases across different regions of the world so that appropriate amount of health infrastructure can be made available to these places.