NGC2021: Mathematical Approaches for Next-Generation Computing |
Submission link | https://easychair.org/conferences/?conf=ngc2021 |
Abstract registration deadline | August 28, 2020 |
Submission deadline | August 28, 2020 |
Abstract Acceptance notification | September 4, 2020 |
Full Chapter Submission | October 30, 2020 |
Chapter Acceptance Notification | November 9, 2020 |
Mathematical Approaches for Next-Generation Computing : This book addresses primary computational techniques for developing new technologies in the theoretical and functional facets of all big fields of the Artificial Intelligence and Soft Computing. It also highlights the security, privacy, artificial intelligence, practical approach in all field of science and technologies. It is highlighting the current research which is intended to advance not only in mathematics but all the possible areas of science, technologies for research and development. As the book is focused on the emerging mathematical approaches in machine learning, artificial intelligence algorithmic approaches and soft computing techniques, it will be used by the researchers, academicians, data scientists and technology developers. The wide variety of subjects provides readers with numerous perspectives into many areas, including several chapters in the edited book.
The book will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.
Recommended Table of Contents, but are not limited to, the following
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Mathematical approaches in edge computing
Novel network architecture and optimization method for Mathematical applications in edge paradigm
Networking and communication protocols for edge computing
Benchmarking Mathematical and ML workloads and/or frameworks on the edge
Evolutionary algorithms for QoS/ QoE management in edge platform
Mathematical analysis techniques for Real time computing
Mathematical analysis of Computational paradigms and computational complexity for Real time computing
Mathematical simulation for Fuzzy logic, fuzzy set theory, and many-valued logic
Mathematical Sub structural logic Probability logic, belief functions, for real time computing
Software and Mathematical simulation platform for real time paradigm
Mathematical simulation with Computer vision: State of the Art and Future Trends
Mathematical simulation and network architecture for computer vision
Mathematical approaches for Reinforcement learning for future trends
Novel deep-learning approaches for future computing applications and services
Mathematical modelling for Machine Learning and AI.
Abstract Submission (of approx. 500 words): 28th Aug 2020
Editors
Dr. T. Ananth Kumar, Assistant Professor, Department of Computer Science and Engineering, IFET College of Engineering, Tamilnadu, India
Dr. E. Golden Julie, Assistant Professor [Sr. Grade], Department of Computer Science And Engineering, Anna University Regional Campus Tirunelveli, India
Dr. Y. Harold Robinson, School of Information Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India
Dr. S M Jaisakthi, Associate professor, School Of computer science And Engineering,Vellore Institute Of Technology, Vellore,Tamilnadu, India
Contact
All questions about submissions should be emailed to ... publications0117@gmail.com