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![]() | Modeling and Optimization of Optical Communication Networks Edited by Chandra Singh, Rathishchandra R Gatti, K.V.S.S.S.S. Sairam, and Ashish Singh Copyright: 2024 | Status: Published | Hardcover Modelling and Optimization of Optical Communication Networks is a comprehensive and authoritative book that delves into the optical networks, principles, technologies, and practical applications of optical networks, equipping readers with the knowledge needed to design, implement, and optimize optical networks for various applications, from telecommunications to scientific research. With its comprehensive coverage and up-to-date insights, this book serves as an essential reference in the field of optical networks. |
![]() | How Machine Learning is Innovating Today's World A Concise Technical Guide Edited by Arindam Dey, Sukanta Nayak, Ranjan Kumar and Sachi Nandan Mohanty Copyright: 2024 | Status: Published | Hardcover Provides a comprehensive understanding of the latest advancements and practical applications of machine learning techniques. |
![]() | Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems Edited by Shubham Mahajan, Kapil Joshi, Amit Kant Pandit and Nitish Pathak Copyright: 2024 | Status: Published | Hardcover A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in image processing and computer vision. |
![]() | Deep Learning Techniques for Automation and Industrial Applications ![]() Edited by Pramod Singh Rathore, Sachin Ahuja, Srinivasa Rao Burri, Ajay Khunteta, Anupam Baliyan and Abhishek Kumar Copyright: 2024 | Status: Published | Hardcover This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. |
![]() | Cognitive Analytics and Reinforcement Learning Theories, Techniques and Applications Edited by Elakkiya, R. and Subramaniyaswamy V Copyright: 2024 | Status: Published | Hardcover The combination of cognitive analytics and reinforcement learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences for business, academia, and research. |
![]() | Wireless Communication in Cybersecurity Edited by S. Sountharrajan, R. Maheswar, Geetanjali Rathee, and M. Akila Copyright: 2024 | Status: Published | Hardcover Presenting the concepts and advances of wireless communication in cybersecurity, this volume, written and edited by a global team of experts, also goes into the practical applications for the engineer, student, and other industry professionals. |
![]() | Transforming Education with Virtual Reality![]() Edited by Reena Malik, Ambuj Sharma and Prashant Chaudhary Copyright: 2024 | Status: Published | Hardcover The book provides an in-depth and comprehensive knowledge review of the use of virtual reality in the education industry and businesses. |
![]() | Optimized Computational Intelligence Driven Decision-Making Theory, Application and Challenges Edited by Hrudaya Kumar Tripathy, Sushruta Mishra, Minakhi Rout, S. Balamurugan and Samaresh Mishra Copyright: 2024 | Status: Contracted | Hardcover This book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. |
![]() | 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 |
![]() | Fintech for ESG and the Circular Economy![]() Edited by Ernesto D.R. Santibanez Gonzalez, Vinay Kandpal, Peterson K Ozili and Prasenjit Chatterjee Copyright: 2024 | Status: Published | Hardcover This book showcases research, theoretical, and validated work associated with digital finance to enhance the quality of a more sustainable environment. |