| ISBN13: | 9783031409042 |
| ISBN10: | 3031409043 |
| Binding: | Paperback |
| No. of pages: | 378 pages |
| Size: | 235x155 mm |
| Language: | English |
| Illustrations: | 30 Illustrations, black & white; 97 Illustrations, color |
| 700 |
International Conference on Smart Systems and Advanced Computing (SysCom 2022)
EUR 267.49
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This book presents the International Conference on Smart Systems and Advanced Computing (SysCom 2022) that features scientific work on smart solution concepts. It covers collective computational intelligence, which encompasses smart device interactions, smart surroundings, and smart ability to interact, as well as information technology support for these areas. It concentrates on cutting-edge research and technologies in smart systems and advanced computing for intelligent autonomous systems. The objectives of SysCom 2022 are to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions, and presentations on the most recent development in the field of smart system technology from the perspective of providing awareness and its best practices for the real world.
This book presents the International Conference on Smart Systems and Advanced Computing (SysCom 2022) that features scientific work on smart solution concepts. It covers collective computational intelligence, which encompasses smart device interactions, smart surroundings, and smart ability to interact, as well as information technology support for these areas. It concentrates on cutting-edge research and technologies in smart systems and advanced computing for intelligent autonomous systems. The objectives of SysCom 2022 are to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions, and presentations on the most recent development in the field of smart system technology from the perspective of providing awareness and its best practices for the real world.
Traffic Flow Prediction with Heterogenous Data using a Hybrid LSTM BILSTM Model.- Radial Basis Neural Network based Distributed Denial of Services (DDoS) Attack Detection.- Skin Lesion Classification using CNN and Transformer Networks for Computer-Assisted Diagnosis.- Blockchain consensus layer security issues: classification and exploration.- Detection of Distributed Denial of Service Attack Using Software-Defined Network with Dynamic Entropy.