Includes Social Media Analytics Case Studies Reviews Social Media Analytics Applications Reviews Trends of Innovation in Social Media Analytics Describes Skills in Social Media Analytics Includes Real-world examples

This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

In recent years, new applications on computer-aided technologies for telemedicine have emerged. Therefore, it is essential to capture this growing research area concerning the requirements of telemedicine. This book presents the latest findings on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies for enhanced telemedicine and e-health. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems. On the other hand, the included case studies present novel approaches using computer-aided methods for enhanced telemedicine and e-health. This volume aims to support future research activities in this domain. Consequently, the content has been selected to support not only academics or engineers but also to be used by healthcare professionals.

This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.

This book presents best selected research papers presented at the 3rd International Conference on Cognitive Informatics and Soft Computing (CISC 2020), held at Balasore College of Engineering & Technology, Balasore, Odisha, India, from 12 to 13 December 2020. It highlights, in particular, innovative research in the fields of cognitive informatics, cognitive computing, computational intelligence, advanced computing, and hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of computer science, artificial intelligence, cybernetics, automation control theory, and software engineering.

In recent years, new applications on computer-aided technologies for telemedicine have emerged. Therefore, it is essential to capture this growing research area concerning the requirements of telemedicine. This book presents the latest findings on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies for enhanced telemedicine and e-health. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems. On the other hand, the included case studies present novel approaches using computer-aided methods for enhanced telemedicine and e-health. This volume aims to support future research activities in this domain. Consequently, the content has been selected to support not only academics or engineers but also to be used by healthcare professionals.

This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.

This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments.

This book presents Internet of Things (IoT) solutions monitoring and assessing a variety of applications areas for indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in the area of air quality monitoring, all the while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors that can be used in multiple applications.The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain.

The book presents the state of the art of the Internet of Things (IoT), applied to Human-Centered Design (HCD) projects addressed to ageing users, from the perspective of health, care and well-being. The current focus on the ageing population is opening up new opportunities for the development of niche solutions aimed at the niche category of older users who are beginning to experience physical and cognitive decline but are still independent and need to maintain their autonomy for as long as possible. The combination between the needs expressed by older users and the opportunities offered by the recent innovative technologies related to the Internet of Things allows research institutions, stakeholders, and academia to target and design new solutions for older users, safeguarding their well-being, health, and care, improving their quality of life. This book discusses and analyses the most recent services, products, systems and environments specifically conceived for older users, in order to enhance health, care, well-being and improve their quality of life. This approach is coherent with the percept of AAL or enhanced living environment, looking to the users' comfort, autonomy, engagement and healthcare. The book describes and analyses aspects of HCD with older users looking to the emerging technologies, products, services, and environments analysed in their actual application in different areas, always concerning the design for the elderly related to the IoT, just as the development of biomonitoring devices, tools for activity recognition and simulation, creation of smart living environments, solutions for their autonomy, assistance and engagement enhancing health, care and wellbeing. The book is intended for researchers, designers, engineers, and practitioners in healthcare to connect academia, stakeholders, and research institutions to foster education, research and innovation.

This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.

This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.

Get hands-on with game development tools and techniques to build game project using the latest version of Unreal Engine and C++, two of the most widely used tools in the games industry Key Features Kickstart your career or develop a new hobby by learning game development with Unreal Engine 5 and C++ Learn techniques to prototype and develop your own ideas with key images printed in color Reinforce your skills with project-based learning by building a series of games from scratch Book DescriptionImmerse yourself in the Unreal game projects with this book, written by four highly experienced industry professionals with many years of combined experience with Unreal Engine. Elevating Game Experiences with Unreal Engine 5 will walk you through the latest version of Unreal Engine by helping you get hands-on with the game creation projects. The book starts with an introduction to the Unreal Editor and key concepts such as actors, blueprints, animations, inheritance, and player input. You'll then move on to the first of three projects, building a dodgeball game, where you'll learn the concepts of line traces, collisions, projectiles, user interface, and sound effects. You'll also discover how to combine these concepts to showcase your new skills. The second project, a side-scroller game, will help you implement concepts such as animation blending, enemy AI, spawning objects, and collectibles. And finally, you'll cover the key concepts in creating a multiplayer environment as you work on the third project, an FPS game. By the end of this Unreal Engine book, you'll have a broad understanding of how to use the tools that the game engine provides to start building your own games. What you will learn Create a fully functional third-person character and enemies Implement navigation with keyboard, mouse, and gamepad Program logic and game mechanics with collision and particle effects Explore AI for games with Blackboards and behavior trees Build character animations with animation blueprints and montages Polish your game with stunning visual and sound effects Explore the fundamentals of game UI using a heads-up display Discover how to implement multiplayer in your games Who this book is forThis book is for game developers looking to get started with using Unreal Engine 5 for their game development projects. Anyone who has used Unreal Engine before and wants to consolidate, improve, and apply their skills will find this book useful. To better grasp the concepts explained in this book, prior knowledge of C++ basics such as variables, functions, classes, polymorphism, and pointers is required. For full compatibility with the IDE used in this book, a Windows system is recommended.

Learn the tools and techniques of game design using a project-based approach with Unreal Engine 4 and C++ Key Features Kickstart your career or dive into a new hobby by exploring game design with UE4 and C++ Learn the techniques needed to prototype and develop your own ideas Reinforce your skills with project-based learning by building a series of games from scratch Book DescriptionGame development can be both a creatively fulfilling hobby and a full-time career path. It's also an exciting way to improve your C++ skills and apply them in engaging and challenging projects. Game Development Projects with Unreal Engine starts with the basic skills you'll need to get started as a game developer. The fundamentals of game design will be explained clearly and demonstrated practically with realistic exercises. You'll then apply what you've learned with challenging activities. The book starts with an introduction to the Unreal Editor and key concepts such as actors, blueprints, animations, inheritance, and player input. You'll then move on to the first of three projects: building a dodgeball game. In this project, you'll explore line traces, collisions, projectiles, user interface, and sound effects, combining these concepts to showcase your new skills. You'll then move on to the second project; a side-scroller game, where you'll implement concepts including animation blending, enemy AI, spawning objects, and collectibles. The final project is an FPS game, where you will cover the key concepts behind creating a multiplayer environment. By the end of this Unreal Engine 4 game development book, you'll have the confidence and knowledge to get started on your own creative UE4 projects and bring your ideas to life. What you will learn Create a fully-functional third-person character and enemies Build navigation with keyboard, mouse, gamepad, and touch controls Program logic and game mechanics with collision and particle effects Explore AI for games with Blackboards and Behavior Trees Build character animations with Animation Blueprints and Montages Test your game for mobile devices using mobile preview Add polish to your game with visual and sound effects Master the fundamentals of game UI design using a heads-up display Who this book is forThis book is suitable for anyone who wants to get started using UE4 for game development. It will also be useful for anyone who has used Unreal Engine before and wants to consolidate, improve and apply their skills. To grasp the concepts explained in this book better, you must have prior knowledge of the basics of C++ and understand variables, functions, classes, polymorphism, and pointers. For full compatibility with the IDE used in this book, a Windows system is recommended.

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.