Bokus
Abhishek Kumar, Priya Batta, Reyes Ju�rez Ram�rez, J.P. Ananth - Federated Quantum Convolutional Neural Networks in Healthcare, Häftad

Häftad, Engelska, 2027

Federated Quantum Convolutional Neural Networks in Healthcare

Enhancing Privacy and Efficiency

Av Abhishek Kumar, Priya Batta, Reyes Ju�rez Ram�rez, J.P. Ananth

1817 kr

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Beskrivning
Federated Quantum Convolutional Neural Networks in Healthcare: Enhancing Privacy and Efficiency explores the innovative intersection of quantum computing and federated learning in the context of healthcare. As medical data grows exponentially and privacy concerns intensify, this book addresses the urgent need for secure, scalable AI solutions that enable collaborative data analysis without compromising patient confidentiality. It offers a detailed examination of the theoretical foundations of quantum machine learning and federated systems, complemented by practical case studies spanning medical imaging, genomics, and disease diagnosis. The content delves into architecture design, security protocols, and optimization techniques, equipping researchers and practitioners with the tools to develop privacy-preserving AI models tailored for medical applications. The book also discusses regulatory considerations, deployment challenges, and future research directions, positioning itself as a vital resource for advancing healthcare AI. Its comprehensive approach bridges fundamental science and real-world implementation, empowering healthcare professionals, data scientists, and policy makers to harness next-generation quantum federated systems for improved patient outcomes and data security. This resource is essential for those seeking to implement cutting-edge AI technologies in healthcare, ensuring secure, efficient, and collaborative medical data analysis.

  • Explains the integration of quantum computing with federated learning tailored for healthcare
  • Presents case studies on medical imaging, genomics, and disease diagnosis
  • Details privacy-preserving methods and secure communication protocols
  • Discusses scalability, efficiency, and deployment challenges in healthcare environments
  • Highlights future directions and potential societal impact of FedQCNNs
Produktinformation
  • Utgivningsdatum: 2027-02-01
  • Mått: 191 x 235 x undefined mm
  • Vikt: 450 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 360
  • Förlag: Elsevier Science
  • ISBN: 9780443511363
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Mer om författaren

Abhishek Kumar is Assistant Director and Professor in the Department of Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. in Computer Science from the University of Madras and is currently a Post-Doctoral Fellow with the Ingenium Research Group, Universidad de Castilla-La Mancha, Ciudad Real, Spain. He received his M.Tech in Computer Science and Engineering and B.Tech in Information Technology from Rajasthan Technical University, Kota, India. He has over thirteen years of academic teaching experience. His research interests include Artificial Intelligence, Computer Vision, Image Processing, Data Mining, Machine Learning, and Renewable Energy Systems. Priya Batta is an Associate Professor in Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. She holds a Ph.D. in Computer Science and Engineering from Chandigarh University, Mohali. She has over twelve years of academic teaching experience. Her research interests include Artificial Intelligence, Blockchain, and the Internet of Things. Dr Reyes Juárez Ramírez is a Full Professor of Computer Science at the Autonomous University of Baja California, Tijuana, Mexico. He currently serves as President of the Mexican Network of Software Engineering and is a Level 2 member of Mexico’s National System of Researchers. He leads several industry-linked research projects and specializes in applying data science to software engineering. His work focuses on uncertainty in agile methodologies, quality enhancement in Scrum, user-centered design, adaptive interfaces, and emerging research in quantum computing. He has also served as General Chair for the National and International Conference on Software Engineering Research and Innovation. Dr J. P. Ananth is Professor of Computer Science & Engineering and Director, IQAC, at Dayananda Sagar University, Bengaluru. He holds a B.E. and M.E. in Computer Science from MS University and a PhD from Sathyabama University, Chennai. With 23 years of academic experience, he has previously served as Professor and Dean–IQAC, Coimbatore, where he led NAAC Cycle II to an A++ accreditation in 2024. His research interests include Computer Vision, Pattern Recognition, AI, and Data Analytics, supported by DST-TIDE funding. He has published impactful research in reputed journals such as Expert Systems with Applications, has supervised six PhD scholars, and reviews for leading international journals and conferences.

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