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Covers both the fundamentals and the latest concepts in deep learning Presents some of the diverse applications of deep learning in visual computing and signal processing Includes over 90 figures and tables to elucidate the text
This text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis. It further discusses topics such as intelligent mechatronics systems and their applications in manufacturing, robotics, and automation. This book: Discusses the applications of mechatronics systems in manufacturing, automation, robotics, medical, pharmaceuticals, ground, and air transportation sectors Presents numerical, experimental, and computational approaches for signal sensing, fault detection, and diagnosis Highlights the importance of using...
In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science a...
Advancements in manufacturing strategies and systems have sparked a profound transformation, ushering in a new era of efficiency, precision, and sustainability, driven by the integration of automation, artificial intelligence, and advanced materials, reshaping industries, boosting productivity, reducing costs, and improving the overall quality of products. This book focuses on practical applications of manufacturing technologies, providing case studies and real-world examples of how these advancements in manufacturing are being implemented to solve manufacturing challenges and improve efficiency. Manufacturing Strategies and Systems: Technologies, Processes, and Machine Tools presents numeri...
The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning, highlighting the use of predictive analytics of data to find timely solutions to real-time problems. It helps to identify applicable approaches in order to enhance, automate, and develop effective solutions to challenges in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address: Computational Intelligence in Image Processing Computational Intelligence in Healthcare Techniques for Natural Language Processi...
There is presently a drastic growth in multimedia data. During the Covid-19 pandemic, we observed that images helped doctors immensely in the rapid detection of Covid-19 infection in patients. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a maj...
The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guaran...
The conference aimed to provide a platform for researchers, scientists, technocrats, academicians and engineers to exchange their innovative ideas and new challenges being faced in the field of emerging technologies. It provided an opportunity to exchange ideas among global leaders and experts from academia and industry in developing domains such as machine learning, intelligence systems, smart infrastructure, advanced power technology, and so forth. It covered all broad disciplines of electronics, computer, physical and chemical science engineering.
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.
In today's digital age, the exponential growth of cloud computing services has brought significant opportunities for businesses and individuals alike. However, this surge in cloud adoption has also ushered in a host of critical concerns, with the paramount issues being data privacy and security. The goal of protecting sensitive information from cyber threats and ensuring confidentiality has become increasingly challenging for organizations across industries. Emerging Technologies and Security in Cloud Computing is a comprehensive guide designed to tackle these pressing concerns head-on. This authoritative book provides a robust framework for understanding and addressing the multifaceted issues surrounding data privacy and security in the cloud. It serves as a beacon of knowledge for academic scholars, researchers, and IT professionals seeking practical solutions to safeguard sensitive data.