Smart Technologies for Engineers and Scientists - Böcker

The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.The book:Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gatewaysCovers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problemsPresents applications of mathematical models in chronic diseases such as kidney and coronary artery diseasesHighlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involvedShowcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approachThe text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.

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 covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena.Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems.Showcases diversified applications of computational techniques to solve practical biological and engineering problems.The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.

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 covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena.Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems.Showcases diversified applications of computational techniques to solve practical biological and engineering problems.The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.

The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.The book:Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gatewaysCovers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problemsPresents applications of mathematical models in chronic diseases such as kidney and coronary artery diseasesHighlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involvedShowcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approachThe text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.

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.

Blockchain technology is considered a disruptive innovation that changes the ways companies and global processes operate. This technology has impressive powers to change this world for the better.This book examines the origins, emergence, challenges, and opportunities in the blockchain field, rethinking business strategy and readiness in the digital world and how blockchain technology would improve businesses. It provides a blockchain readiness model for managing supply chains and reviews enabling technologies such as AI, big data and organisational capabilities that support the adoption of blockchain technology. Through innovative design and simulation of a blockchain framework, it aims to enhance the traceability and transparency of business operations and supply chains. This includes developing key performance indicators for measuring the seamless integration of blockchain technology and achieving a successful outcome. It explores how blockchain technology enhances the green and sustainability aspects of businesses by comparing the sectors and discussing the potential for blockchain to promote a green and sustainable economy. This book concludes with research frontiers and blockchain applications in healthcare, international trade, and supply chain sectors.Key featuresIntegrates both theoretical and practical perspectivesIncludes material that is informative for readers from diverse backgrounds and disciplinesExplores blockchain technology practices and challenges in-depth across various sectorsOffers up-to-date, critical insights on the design, management, and control of blockchain technology for businessesWritten by experts with extensive experience in the field.It is primarily written for senior undergraduate and graduate students and academic researchers in fields including buisness management, industrial and systems engineering, supply chain, electrical engineering, electronics and communication 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.

This book covers both transmitters and receivers of modern microwave devices designed for a wide range of practical applications. It focuses on different types of antennas, filters, amplifiers, and oscillators and their optimization techniques for the design of networks, which are most useful in modern communication systems such as the Internet of Things, remote sensing, and space applications.Key Features:Focuses on specific applications of microwave device design, such as wearable, implantable, body-centric networks, and Internet of Medical ThingsCovers the design and implementation of the defense networks and discusses the application of RADAR optimization algorithmsPresents advanced topics such as the integration of machine learning and artificial intelligence for designing microwave devicesExamines modern microwave devices for next-generation communication systems, such as 5G and beyond, satellites, and RADAR applicationsExplains the implementation and challenges for unmanned aerial vehicles, ground-penetrating radar, and remote sensing applications on aerial platformsThis book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and telecommunications.

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.

The text discusses the latest research on essential issues and prospects surrounding the deployment of intelligent technologies, such as infrastructural needs, data privacy issues, and legislative considerations. It includes case studies of businesses using innovative technology for sustainable development.This book:Investigates the relationship between intelligent technology and sustainable development, offering a thorough summary of how cutting-edge technological advancements might support an environmentally friendly futureDiscusses the role of using smart technologies in revolutionizing waste collection and recycling systemsExplores ethical considerations in the implementation of smart technology and sustainabilityHighlights latest innovations in smart transportation, and digital twin technologyShowcases the use of smart technologies in areas including energy management, transportation, waste management, water conservation, and healthcareIt is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics, and communication engineering, computer science and engineering, information technology, civil engineering, and environmental engineering.