Frontiers in Deep Learning and Intelligent Systems: Advanced Methods, Robust Architectures, and Emerging Applications - Front Cover

Frontiers in Deep Learning and Intelligent Systems: Advanced Methods, Robust Architectures, and Emerging Applications - Back Cover

Frontiers in Deep Learning and Intelligent Systems: Advanced Methods, Robust Architectures, and Emerging Applications

Author(s): Dr. Mohamed Shameem P Dr. Terry Jacob Mathew Dr. Mageshkumar Chinnasamy Mrs. Anuradha G R

736

Language:
English

ISBN13:
9789369260393

ISBN10:
9369260390

Format:
Paperback

Trim:
8.5x11

Pages:
403

Publication date:
25-May-2026

Available, Ships in 3-5 days
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Frontiers in Deep Learning and Intelligent Systems: Advanced Methods, Robust Architectures, and Emerging Applications is a comprehensive guide to modern deep learning and AI systems, combining theoretical foundations with hands-on implementation. The book covers neural networks, CNNs, RNNs, LSTMs, Transformers, and advanced techniques using TensorFlow and PyTorch. It emphasizes practical, project-based learning through real-world applications in image processing, NLP, healthcare, and finance. Designed for students, developers, and researchers, it bridges the gap between theory and practice. With a strong focus on deployment, interpretability, and scalable AI solutions, it equips readers to build robust intelligent systems for real-world challenges.

Dr. Mohamed Shameem P

Dr. Mohamed Shameem P is an accomplished computer science academic and researcher with over 27 years of experience in higher education. He currently serves as Deputy Academic Dean for Computing and Engineering and Course Leader at the University of West London, RAK Branch Campus. His expertise spans Artificial Intelligence, Machine Learning, Cloud Computing, Data Structures, and Computer Networks.

Dr. Terry Jacob Mathew

Dr. Terry Jacob Mathew is an academic, researcher, and educator with over two decades of experience in industry and higher education. He currently serves as a Senior Lecturer at the University of West London, UAE, specializing in Artificial Intelligence, Machine Learning, Software Engineering, and Research Methods. He holds a PhD in Computer Science from Mahatma Gandhi University, with research focused on predictive medical analytics using machine learning.

Dr. Mageshkumar Chinnasamy

Dr. C. Mageshkumar holds a B.Tech and M.Tech in Information Technology and a Ph.D. in Information and Communication Engineering from Anna University. With over 18 years in academia, he currently serves at Webster University, Tashkent. He has published 25+ papers in reputed journals and conferences, indexed in SCI, Scopus, and Web of Science. An active member of ISTE, IAENG, and IACSIT, his research focuses on networking, artificial intelligence, and machine learning.

Mrs. Anuradha G R

Mrs. Anuradha G R is an Assistant Professor in the Department of Master of Computer Applications at Sri Siddhartha Institute of Technology. With over 14 years of academic and 4 years of research experience, she specializes in Image Processing and Deep Learning. She holds an MCA from Siddaganga Institute of Technology and is currently pursuing her Ph.D. at Sri Siddhartha Academy of Higher Education.