Soft Computing and Its Engineering Applications
portes grátis
Soft Computing and Its Engineering Applications
5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7-9, 2023, Revised Selected Papers, Part II
Ghosh, Ashish; Patel, Kanubhai K.; Santosh, KC; Patel, Atul
Springer International Publishing AG
02/2024
272
Mole
Inglês
9783031537271
15 a 20 dias
Descrição não disponível.
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.
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information networks;artificial intelligence;information retrieval;software engineering;data mining;image analysis;classification;knowledge discovery;computer security
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
