Soft Computing and Its Engineering Applications
Springer International Publishing (Verlag)
9783031537271 (ISBN)
The 42 full papers and 2 short papers included in this book were carefully reviewed and selected from 351 submissions. They are organized in topical sections as follows: Volume number 2020: Theory and Methods; Systems and ApplicationsVolume number 2031: Systems and Applications; Hybrid Techniques.
Systems and Applications.- Metagenomic Gene Prediction Using Bidirectional LSTM.- Energy-Efficient Task Scheduling in Fog Environment using TOPSIS.- Dynamic Underload Host Detection for Performance Enhancement in Cloud Environment.- Inverse Reinforcement Learning to Enhance Physical Layer Security in 6G RIS-Assisted Connected Cars.- Computer Vision-Based Cybersecurity Threat Detection System with GAN-Enhanced Data Augmentation.- Classification using Optimal Polarimetric Parameters for Compact Polarimetric Data.- Comparative study of Supervised Classification for LULC Using Geospatial Technology.- A U-Net Based Approach for High-Accuracy Land Use Land Cover Classification in Hyperspectral Remote Sensing.- Novel Channel Fuzzy Logic System Modeling for Aquatic Acoustic Wireless Communication within a Tank.- Iterative Interference Cancellation for STBC-OFDM System over Doubly Selective Channel.- Managing Multiple Identities of IoT Devices Using Blockchain.- Machine Learning Enabled Image Classification Using K-Nearest Neighbour and Learning Vector Quantization.- Enhancing IDC Histopathology Image Classification: A Comparative Study of Fine-tuned and Pretrained Models.- Optimized Path Planning Techniques for Navigational Control of Mobile Robot Using Grass Fire Algorithm in Obstacle Environmental.- A Novel Approach for Suggestions on Law Based Problems.- Performance Evaluation of Service Broker Policies in Cloud Computing Environment using Round Robin.- A Course Study Planning Framework - An Engineering Perspective.- Three Languages Simulate Polygons and Perform on the Web.- Hybrid Techniques.- Multi Disease Prediction using Ensembling of distinct Machine Learning and Deep Learning Classifiers.- Resource Management through Workload Prediction Using Deep Learning in Fog-Cloud Architecture.
| Erscheinungsdatum | 12.02.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XIX, 272 p. 133 illus., 102 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 450 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Artificial Intelligence • classification • Computer Security • Data Mining • Image Analysis • information networks • Information Retrieval • Knowledge Discovery • Software engineering |
| ISBN-13 | 9783031537271 / 9783031537271 |
| Zustand | Neuware |
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