Bioimaging is a sophisticated non-invasive and non-destructive technique for direct visualization of biological processes. Highly luminescent quantum dots combined with magnetic nanoparticles or ions form an exciting class of new materials for bioimaging. These materials can be prepared in cost-effective ways and show unique optical behaviours. Magnetic Quantum Dots for Bioimaging explores leading research in the fabrication, characterization, properties, and application of magnetic quantum dots in bioimaging. * Covers synthesis, properties, and bioimaging techniques. * Discusses modern manufacturing technologies and purification of magnetic quantum dots. * Explores thoroughly the properties and extent of magnetization to various imaging techniques. * Describes the biocompatibility, suitability, and toxic effects of magnetic quantum dots. * Reviews recent innovations, applications, opportunities, and future directions in magnetic quantum dots and their surface decorated nanomaterials. This comprehensive reference offers a roadmap of the use of these innovative materials for researchers, academics, technologists, and advanced students working in materials engineering and sensor technology.

This book offers an overview of power electronic applications in the study of power integrated circuit (IC) design, collecting novel research ideas and insights into fast transient response to prevent the output voltage from dropping significantly at the undershoot. It also discusses techniques and training to save energy and increase load efficiency, as well as fast transient response and high efficiency, which are the most important factors for consumer products that implement power IC. Lastly, the book focuses on power electronics for system loop analysis and optimal compensation design to help users and engineers implement their applications. The book is a valuable resource for university researchers, power IC R&D engineers, application engineers and graduate students in power electronics who wish to learn about the power IC design principles, methods, system behavior, and applications in consumer products.

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

Congruences are ubiquitous in computer science, engineering, mathematics, and related areas. Developing techniques for finding (the number of) solutions of congruences is an important problem. But there are many scenarios in which we are interested in only a subset of the solutions; in other words, there are some restrictions. What do we know about these restricted congruences, their solutions, and applications? This book introduces the tools that are needed when working on restricted congruences and then systematically studies a variety of restricted congruences. Restricted Congruences in Computing defines several types of restricted congruence, obtains explicit formulae for the number of their solutions using a wide range of tools and techniques, and discusses their applications in cryptography, information security, information theory, coding theory, string theory, quantum field theory, parallel computing, artificial intelligence, computational biology, discrete mathematics, number theory, and more. This is the first book devoted to restricted congruences and their applications. It will be of interest to graduate students and researchers across computer science, electrical engineering, and mathematics.

An Industry Perspective on Key Tunable Technologies and Applications Tunable RF Components and Circuits: Applications in Mobile Handsets provides a technical introduction to the state of the art in tunable radio frequency (RF) components, circuits, and applications and discusses the foundational work that has been done to date. Leading practitioners in the field share their expertise on tunable devices in mobile handset applications. Through these practical viewpoints, readers discover how to use tunable RF techniques and devices to develop successful product designs. A substantial portion of the book focuses on antennas and antenna tuning, reflecting the dominance of the antenna tuning application in today's commercial market for tunable RF. The book explains how RF-microelectromechanical systems (RF-MEMS), barium strontium titinate (BST), silicon-on-insulator (SOI) field effect transistors (FETs), and high-performance complementary metal oxide semiconductors (CMOS) are used as enabling technologies for tunable functions in current and next-generation radio architectures. The book also describes power amplifier envelope tracking, an emerging and important technique for improving efficiency; presents a network operator's perspective on the evolution of the handset front end; and explores emerging approaches to production testing of wireless devices.

1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.

Gives broad perspective on 5G communications with a focus on smart cities Discusses artificial intelligence in future wireless communication and its applications Provides a systemic and comprehensive coverage of 6G technologies, challenges and use cases Explores role of future wireless in safety, health, and transport in smart cities Includes case studies of future wireless communications

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. The various application areas that are image-centric and video are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering CNN, RNN and its types for learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas

This book offers a comprehensive overview of Software-Defined Network (SDN) based ad-hoc network technologies and exploits recent developments in this domain, with a focus on emerging technologies in SDN based ad-hoc networks. The authors offer practical and innovative applications in Network Security, Smart Cities, e-health, and Intelligent Systems. This book also addresses several key issues in SDN energy-efficient systems, the Internet of Things, Big Data, Cloud Computing and Virtualization, Machine Learning, Deep Learning, and Cryptography. The book includes different ad hoc networks such as MANETs and VANETs, along with a focus on evaluating and comparing existing SDN-related research on various parameters. The book provides students, researchers, and practicing engineers with an expert guide to the fundamental concepts, challenges, architecture, applications, and state-of-the-art developments in the field.

This book provides insights on how to approach and utilize data science tools, technologies and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI-technologies, and their inter-connections. Description of various technology and methodology approaches, and their purpose and benefits when developing AI-solution in industrial contexts is included. In addition, it summarizes experiences from AI technology deployment projects from several industrial sectors. Features: Presents compendium of methodologies and technologies in Industrial AI and digitalization. Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept. Covers a broad range of academic and industrial issues within the field of asset management. Discusses impact of Industry 4.0 in other sectors. Includes a dedicated chapter on real-time case studies. This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and ML, engineering managers, operational and maintenance specialists, asset managers, digital and AI manufacturing specialists.

1. The book will begin by evaluating the state of the art of all Internet Of behaviors (IoB) while looking into their BI, Big Data, CDPs, etc. core building block 2. Offers in-depth examination of Internet Of behaviors, which supports 3. Includes handy quick-reference to help readers with regular with simple language rules; 4. This book goal is to record, analyse, comprehend, and respond to all forms of human behaviour in a way that allows people to be tracked and interpreted using developing technology advancements and advances in machine learning algorithms

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 including industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book- Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, internet of things networks with intelligent gateways. Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, data mining techniques for real-world problems. Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases. Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved. Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach. The 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, graduate students, and researchers in diverse fields domains including industrial and manufacturing engineering, computer engineering, and mathematics.

MXenes offer single step processing, excellent electrical conductivity, easy heat dissipation behavior, and capacitor-like properties and are used in photodetectors, lithium-ion batteries, solar cells, photocatalysis, electrochemiluminescence sensors, and supercapacitors. Because of their superior electrical and thermal conductivities, these composites are an ideal choice in electromagnetic interference (EMI) shielding. MXene Nanocomposites: Design, Fabrication, and Shielding Applications presents a comprehensive overview of these emerging materials, including their underlying chemistry, fabrication strategies, and cutting-edge applications in EMI shielding. * Covers modern fabrication technologies, processing, properties, nanostructure formation, and mechanisms of reinforcement. * Discuss biocompatibility, suitability, and toxic effects. * Details innovations, applications, opportunities, and future directions in EMI shielding applications. This book is aimed at researchers and advanced students in materials science and engineering and is unique in its detailed coverage of MXene-based polymer composites for EMI shielding.

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

Cooperation is known as an effective strategy in nature to achieve individual or common goals by forming cooperative groups. As the cross over between nature and engineering has always been fruitful, Cooperation in Wireless Networks: Principles and Applications advocates the use of cooperative strategies in the field of wireless communications.Whether to cooperate or act autonomously, i.e., in a more selfish manner, has to be decided by each wireless terminal individually. Following the rule The real egoistic behavior is to cooperate, mutual aid among terminals will be applied if and only if it is beneficial for all group members.

These lecture notes present selected topics concerning a wide range of electrical and electronics applications, highlighting innovative approaches and offering state-of-the-art overviews. The book is divided into 14 topical areas, including e.g. telecommunication, power systems, robotics, control systems, renewable energy, mechanical engineering, computer science and more. Readers will find revealing papers on the design and implementation of control algorithms for automobiles and electrohydraulic systems, efficient protocols for vehicular ad hoc networks and motor control, and energy-saving methods that can be applied in various fields of electrical engineering. The book offers a valuable resource for all practitioners who want to apply the topics discussed to solve real-world problems in their challenging applications. Offering insights into common and related subjects in the research fields of modern electrical, electronic and related technologies, it will also benefit all scientists and engineers working in the above-mentioned fields.

The Cyber-Physical System (CPS) relates to many other popularized technologies such as Internet of Things (IoT, IIoT), Machine-to-Machine (M2M), Industry 4.0, which describe a vision of connected creations that deeply unite the physical and information domains. As a revolutionary technology, Blockchain (BC) provides a practical solution to enable a secure and decentralized public ledger that a huge plethora of exciting new technology applications in several areas, such as the Internet of Things (IoT), Cyber-Physical Systems, Manufacturing, Supply-Chain, etc. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. In this context, this book helps discover the various potential applications that could be fruitful for cyber-physical system applications. It provides a sampling of recent advances and ideas on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues. It provides a sampling of recent advances and views on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues.

Unique selling point: • Complete coverage of intelligent vehicle networks with deep learning tools. Core audience: • Researchers and postgraduates studying UAV communication systems, as well as industry engineers and technicians Place in the market: • Many advanced UAV communication protocols and modeling details will be provided. Thus, it is more like an engineering/science design reference instead of a common introduction book.

1. Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms. 2. Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics. 3. Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems. 4. Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data.

The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. The book- Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems Highlight privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. Discusses nature-inspired computing algorithms for the brain-computer interface. Covers graph neural network application in the medical domain. Provides insights into the state-of-the-art Artificial Intelligence and Smart Computing enabling and emerging technologies. This book text discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

This proposed book focuses on the design and development of printed antennas along with modeling aspects for multifaceted applications. It further investigates imperfections in the manufacturing processes and assembly operation during the testing/characterization of printed antennas. This text- Discusses in a comprehensive manner the design and development aspects of printed antennas. Provides fractal engineering aspects for miniaturization and wideband characteristics of the low-profile antenna with high performances. Covers high gain printed antenna for Terahertz application. Showcases electrical modeling of smart antennas. Pedagogical features such as review questions based on practical experiences are included at the end of each chapter. The book comprehensively discusses fractal engineering in printed antennas for miniaturization and enhancement of performance factors. It further covers the modeling of electrically small antennas, circuit modeling, modeling of factual-based Ultra-Wide Band antennas, and modeling of reconfigurable micro-electromechanical system-based patch antennas. The book highlights performance metrics of multiple-input-multiple-output antennas. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Unique selling point: A rigorous examination of the influence of software development on competitiveness among small firms Core audience: Researchers and academics in business and MIS Place in the market: Academic reference with audiences in social science and computer science

Focusses on prospective scenarios in health to foresight possible futures Addresses the urgent needs of the key population, socio-technical, and health themes Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, AI robot for heart treatments Explores telemedicine using big data, deep learning, robotics, mobile and remote applications Reviews public health based on predictive analytics and disease trends

The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner. It further presents a chapter on sensors for military and aerospace applications. It will be useful for senior undergraduate, graduate students, academic researchers in the fields of electrical engineering, electronics, and communication engineering. The book Discusses implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes. Covers applications of sensors in diverse fields including healthcare, industrial flow, consumer electronics, and military. Includes experimental studies such as the detection of biomolecules using SPR sensors and electrochemical sensors for biomolecule detection. Presents artificial neural networks (ANN) based industrial flow sensor modeling. Highlights case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors. The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, academic researchers in the fields of electrical engineering, electronics, and communication engineering.

In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these systems, one can express new designs in a way that facilitates their simulation, visualization, and analysis. Concepts are introduced in a cross-disciplinary way. Leveraging hybrid (continuous/discrete) systems as a unifying framework and Acumen as a modeling environment, the book bridges the conceptual gap in modeling skills needed for physical systems on the one hand and computational systems on the other. In doing so, the book gives the reader the modeling and design skills they need to build smart, IT-enabled products. Starting with a look at various examples and characteristics of Cyber-Physical Systems, the book progresses to explain how the area brings together several previously distinct ones such as Embedded Systems, Control Theory, and Mechatronics. Featuring a simulation-based project that focuses on a robotics problem (how to design a robot that can play ping-pong) as a useful example of a CPS domain, Cyber-Physical Systems: A Model-Based Approach demonstrates the intimate coupling between cyber and physical components, and how designing robots reveals several non-trivial control problems, significant embedded and real-time computation requirements, and a need to consider issues of communication and preconceptions.