Yanhui Guo is currently an Assistant professor in the Department of Computer Science at the University of Illinois at Springfield, USA. He received his B. S. degree in Automatic Control from Zhengzhou University, China, M.S. degree in Pattern Recognition and Intelligence System from Harbin Institute of Technology, China, and Ph.D. degree in the Department of Computer Science, Utah State University, USA. Dr. Guo has published more than 80 journal papers and 30 top conference papers, completed 11 grant funded research projects, and worked as an associate editor of different international journals, reviewers for top journals and conferences. His research area includes neutrosophic theory, computer vision, machine learning, big data analytics, computer aided detection/diagnosis, and computer assist surgery.
Télécharger le livre :  Convergence of AI, Federated Learning, and Blockchain for Sustainable Development

This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, and authors. It also provides an opportunity to exchange knowledge...
Editeur : Springer
Parution : 2025-08-08

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232,09

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Télécharger le livre :  Thermal Ablation Therapy

Thermal Ablation Therapy: Theory and Simulation includes detailed theoretical and technical concepts of thermal ablation therapy in different body organs. Concepts of ablation technology based on different thermal ablation methods are introduced, along with changes in...
Editeur : Academic Press
Parution : 2021-05-18

Format(s) : epub sans DRM
168,80

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Télécharger le livre :  Neutrosophic Set in Medical Image Analysis

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into...
Editeur : Academic Press
Parution : 2019-08-08

Format(s) : epub sans DRM
163,52

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