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Simulation Techniques of Digital Twin in Real-Time Applications Design Modeling and Implementation Edited by Abhineet Anand, Anita Sardana, Abhishek Kumar, Srikanta Kumar Mohapatra and Shikha Gupta Copyright: 2024 | Status: Published | Hardcover The book gives a complete overview of implementing digital twin technology in real-time scenarios while emphasizing how this technology can be embedded with running technologies to solve all other issues. | |
Advances in Fuzzy-Based Internet of Medical Things (IoMT) Edited by Satya Prakash Yadav, Sudesh Yadav, Pethuru Raj and Victor Hugo C. de Albuquerque Copyright: 2024 | Status: Published | Hardcover This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. | |
Bio-Inspired Optimization for Medical Data Mining Edited by Sumit Srivastava, Abhineet Anand, Abhishek Kumar, Bhavna Saini and Pramod Singh Rathore Copyright: 2024 | Status: Published | Hardcover This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. | |
Conversational Artificial Intelligence Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, and K. Sakthidasan Sankaran Copyright: 2024 | Status: Published | Hardcover This book presents the need for, design, and application of conversational artificial intelligence (AI). Expert knowledge is shared on leading innovations in natural language processing (NLP) and machine learning (ML) techniques that are frequently combined with more traditional, static kinds of interactive technology, such as chatbots, to create conversational AI. | |
Creative Approaches Towards Development of Computing and Multidisciplinary IT Solutions for Society Edited by Anchit Bijalwan, Rick Bennett, Jyotsna G.B and Sachi Nandan Mohanty Copyright: 2024 | Status: Published | Hardcover This book containing 33 chapters provides an insightful look at creative approaches toward the accelerated development of computing and multidisciplinary IT solutions for society. | |
AI for Autonomous Vehicles The Future of Driverless Technology Edited by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, and Balamurugan Balusamy Copyright: 2024 | Status: Published | Hardcover This title presents the research prospects and security challenges present in the exciting new field of autonomous vehicles by comprehensively introducing advanced concepts of artificial intelligence (AI) in driverless technology. | |
Supervised and Unsupervised Data Engineering for Multimedia Data Edited by Suman Kumar Swarnkar, J. P. Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore, and Tien Anh Tran Copyright: 2024 | Status: Published | Hardcover Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. | |
Artificial Intelligence and Machine Learning in Drug Design and Development Edited by Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar, and Anand Nayyar Copyright: 2024 | Status: Published | Hardcover The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. | |
Metaheuristics for Machine Learning Algorithms and Applications Edited by Kanak Kalita, Narayanan Ganesh and S. Balamurugan Copyright: 2024 | Status: Published | Hardcover The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. | |
Deep Learning Tools for Predicting Stock Market Movements Edited by Renuka Sharma and Kiran Mehta Copyright: 2024 | Status: Published | Hardcover The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. | |
Fog Computing for Intelligent Cloud IoT Systems Edited by Chandan Banerjee, Anupam Ghosh, Rajdeep Chakraborty and Ahmed A. Elngar Copyright: 2024 | Status: Published | Hardcover This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services | |
Augmented Reality and Virtual Reality in Special Education Edited by V. Ajantha Devi, Williamjeet Singh, and Yogesh Kumar Copyright: 2024 | Status: Published | Hardcover Discover the groundbreaking potential of augmented reality in special education with this comprehensive book, which fills a significant research gap and explores the transformative impact of AR/VR on teaching and learning experiences for individuals with disabilities. | |
Deep Reinforcement Learning and Its Industrial Use Cases AI for Real-World Applications Edited by Shubham Mahajan, Pethuru Raj and Amit Kant Pandit Copyright: 2024 | Status: Contracted | Expected Pub Date:2024/08/30 | Hardcover This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. | |
Decentralized Systems and Distributed Computing Edited by Sandhya Avasthi, Suman Lata Tripathi, Namrata Dhanda, and Satya Bhushan Verma Copyright: 2024 | Status: Published | Hardcover This book provides a comprehensive exploration of next-generation internet, distributed systems, and distributed computing, offering valuable insights into their impact on society and the future of technology. | |
Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals Edited by Amit Kumar Tyagi Copyright: 2024 | Status: Published | Hardcover The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals. | |
Integrated Devices for Artificial Intelligence and VLSI VLSI Design, Simulation and Applications Edited by Balwinder Raj, Suman Lata Tripathi, Tarun Chaudhary, K. Srinivasa Rao, and Mandeep Singh Copyright: 2024 | Status: Published | Hardcover With its in-depth exploration of the close connection between microelectronics, AI, and VLSI technology, this book offers valuable insights into the cutting-edge techniques and tools used in VLSI design automation, making it an essential resource for anyone seeking to stay ahead in the rapidly evolving field of VLSI design. | |
Modeling and Optimization of Signals Using Machine Learning Techniques Edited by Chandra Singh, Rathishchandra R. Gatti, K.V.S.S.S.S. Sairam, Manjunatha Badiger, Naveen Kumar S., and Varun Saxena Copyright: 2024 | Status: Published | Hardcover Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing. | |
Digital Twin and Blockchain for Smart Cities Edited by Amit Kumar Tyagi Copyright: 2024 | Status: Published | Hardcover The book uniquely explores the fundamentals of blockchain and digital twin technologies and their uses in smart cities. | |
Mathematical Modeling for Computer Applications Edited by Biswadip Basu Mallik, M. Niranjanamurthy, Sharmistha Ghosh, Valentina Emilia Balas, Krishanu Deyasi, and Santanu Das Copyright: 2024 | Status: Published | Hardcover This new volume in this groundbreaking series on mathematics and computer science builds on the basic concepts and fundamentals laid out in previous volumes, presenting the reader with more advanced and cutting-edge topics being developed in this exciting field. | |
Human Cancer Diagnosis and Detection Using Exascale Computing Edited by Kapil Joshi and Somil Kumar Gupta Copyright: 2024 | Status: Published | Hardcover The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. |