You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. This book begins by building foundational knowledge for the reader, covering the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and ...
Engineers, researchers, and students attempting to effectively utilize numerical methods to solve complex engineering problems in today's fast-paced technological world are increasingly struggling to keep up without the necessary tools. While theoretical knowledge is vital, it can feel disconnected from practical application, leaving many ill-equipped to tackle real-world challenges. Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods offers a comprehensive understanding and hands-on experience with numerical methods, empowering you to push the boundaries of innovation. By providing practical examples of coding and real-world applications, you will be equipped with the skills to tackle dynamic systems, partial and ordinary differential equations, and other mathematical simulations confidently.
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about ...
This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.
Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evo...
In today's rapidly evolving educational landscape, traditional teaching methods often fail to equip students with the skills necessary for success in the 21st century. The siloed approach to education, where subjects are taught in isolation, must reflect the interconnected nature of modern challenges. This disconnect between traditional educational models and the needs of the future workforce is a serious concern among educators. They face the challenge of preparing students for professions that still need to be created using tools and technologies that are still emerging. Revolutionizing Curricula Through Computational Thinking, Logic, and Problem Solving offers a transformative solution to...
In today's increasingly digital world, the interaction between humans and computers has become a fundamental aspect of our daily lives, affecting how we learn, work, and conduct business. However, as technology continues to evolve, the Human-Computer Interaction (HCI) field faces new challenges and opportunities. One pressing issue is the need to understand the social implications of HCI in education, management, and economics. This includes how HCI impacts teaching methodologies, business practices, and economic models and how it can be leveraged to enhance productivity, innovation, and entrepreneurship. Social Reflections of Human-Computer Interaction in Education, Management, and Economics addresses these challenges by comprehensively exploring HCI and its societal implications. This book is essential for scholars, practitioners, and policymakers looking to understand the complex interplay between humans and computers in today's digital age. It offers practical insights and theoretical frameworks that can inform the design of more effective educational programs, management practices, and economic policies.
Mock tests play a significant role to crack competitive examinations. This book is an attempt to assist all students who are preparing for Assam State level government jobs. This book's approach is to meet the needs of our dedicated aspirants who wish to crack any exam. This book will help to prepare APSC, Assam State Combined Competitive Examination, DHE, DHS, ASTC, ASEB, Assam Police Constable, Assam Police S.I.,and all other competitive exams for Assam State Govt. recruitment.
This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.