Synopsis
Generative Adversarial Networks (GANs) and Meta-Learning synergies can be combined and leveraged to enhance the capabilities of artificial intelligence (AI) systems, particularly in areas such as image generation, style transfer, few-shot learning, and domain adaptation. These techniques can be integrated to develop more robust and efficient AI models. Ultimately, understanding the theoretical foundations, implementation strategies, and practical applications of GANs and Meta-Learning can be used to address complex real-world challenges. Exploring Generative Adversarial Networks and Meta-Learning Synergies explores the intersection and synergy between two cutting-edge AI techniques: GANs and Meta-Learning. It showcases the potential of these synergies in advancing the field of AI and addressing complex real-world challenges. Covering topics such as neuromorphic computing, transfer learning, and visual speech recognition, this book is an excellent resource for computer scientists, entrepreneurs, healthcare professionals, professionals, researchers, scholars, academicians, and more.
À propos des auteurs
Sarita Simaiya is a distinguished Professor at the School of Computing Science & Engineering (CSE) at Galgotias University, Greater Noida. Boasting over 17 years of teaching and 8 years of research experience, Dr. Sarita has held esteemed positions at various prestigious universities and colleges in India and abroad. With a Ph.D. and M.Tech, BE in CSE, Dr. Sarita completed postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. His extensive publication record includes articles in reputed, peer-reviewed national and international Scopus journals and conferences.
Umesh Kumar Lilhore is currently a Professor at the School of Computing Science & Engineering (CSE) at Galgotia University, Greater Noida. With over 19 years of teaching and 8 years of research experience, he has previously held positions at various renowned universities and colleges in India and abroad. Dr. Lilhore holds a Ph.D. and M.Tech in CSE and has completed his postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. He has a strong publication record with articles in reputed, peer-reviewed national and international Scopus journals and conferences.
Yogesh Kumar Sharma is a seasoned professional with over 17 years of experience in the field of Computer Science and Engineering. Currently serving as a Professor in the Department of Computer Science and Engineering at KL University, he brings a wealth of knowledge and expertise to his role. Professor Sharma has a strong academic background, holding a Ph.D. in Computer Science and Engineering.His areas of interest include artificial intelligence, machine learning, and natural language processing. Professor Sharma is dedicated to fostering a dynamic learning environment and is committed to the academic and professional growth of his students.
Sandeep Kumar is a highly accomplished academic and researcher with extensive expertise in Machine Learning, Embedded Systems, Image Processing, Biometrics, and Computer Vision. He holds the position of Professor in the Department of Computer Science and Artificial Intelligence at SR University, Warangal, Telangana, India, an institution with an A+ NAAC accreditation. Dr. Kumar has completed two Post-Doctoral fellowships: the first at Pentagram Pvt. Ltd., India in August 2021, and the second at the Singapore Institute of Technology, Singapore in 2024. His research achievements include 30 granted patents, comprising 8 Utility Patents, 14 Design Patents, and 8 International Patents. He has also authored 17 books published by prestigious international publishers such as Wiley, Taylor & Francis, IGI Global, Intech Open, and Scholar Press. Currently, four more books are in press, and two additional books are in the pipeline. Throughout his career, Dr. Kumar has received 17 awards for his contributions to academia and research. Notable recognitions include the “Best Paper Presentation” awards in Nepal and India in 2017 and 2018, the “Best Performer Award” in Hyderabad in 2018, the “Young Researcher Award” in Thailand in 2018, the “Best Excellence Award” in Delhi in 2019, and the “Excellence in Academics Award” in Chennai in 2020. In 2024, Dr. Kumar received the “Award of Certificate” from the USA Book of World Records on November 28th. This year, through the blessings of God and the support of others, his name was also shortlisted in the Top 2% Scientists Worldwide by Elsevier and Stanford University in 2024. Dr. Kumar has been invited 17 times as a guest speaker at Scopus Indexed IEEE/Springer Conferences and has served as an expert in various colleges and universities across India on 14 occasions. He is an active member of 22 international professional societies and has been nominated to the editorial and review boards of more than 30 peer-reviewed Journals/Conferences, including those published by Nature, IEEE, MDPI, Springer, Bentham Science, and Elsevier. In addition to his research, Dr. Kumar has guided 23 M. Tech and 2 Ph.D. scholars and is currently supervising 5 Ph.D. scholars and 2 M.Tech scholars. He has published more than 200 research papers in prominent International and National Journals, including IEEE and Springer, as well as in the proceedings of esteemed conferences. Dr. Kumar has also organized 3 International Conferences and 21 Workshops and has attended 51 seminars, workshops, and short-term courses, including those at IITs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
