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The two-volume proceedings set CCIS 2430-2431 constitutes the revised selected papers of the 6th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2024, held in Bangkok, Thailand, during December 10-12, 2024. The 58 full papers and 3 short papers included in this book were carefully reviewed and selected from 501 submissions. They were organized in topical sections as follows: Part I : Theory and Methods. Part II : Theory and Methods; Systems and Applications; Hybrid Techniques; Soft Computing for Smart World.
The two-volume proceedings set CCIS 2430-2431 constitutes the revised selected papers of the 6th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2024, held in Bangkok, Thailand, during December 10-12, 2024.
The 58 full papers and 3 short papers included in this book were carefully reviewed and selected from 501 submissions. They were organized in topical sections as follows: Part I : Theory and Methods. Part II : Theory and Methods; Systems and Applications; Hybrid Techniques; Soft Computing for Smart World.
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Inhaltsangabe
.- Theory and Methods. .- A Prediction-Enabled Scheduling Framework for Cloud Manufacturing Applications. .- Evaluating the need of Reinforcement Learning by implementing Heuristic Algorithms with its Load Balancing and Performance Testing in Cloud. .- Optimizing XGBoost for Blockchain Malicious Node Detection by Metaheuristics. .- A Correct-by-Construction Model for Request-Based Access Control. .- Lattice-based Post Quantum Cryptography using Variations of Learning with Error (LWE). .- A Spatio-Temporal Explainable Deep Learning Approach for Frame Classification from Book Flipping Videos. .- Adapting a Modern Siamese Framework for 360° Video Object Tracking. .- Detecting Deepfake Images with Enhanced Generative Adversarial Networks. .- CRITIC and TOPSIS-Enhanced Fuzzy Clustering (CTEFC) Protocol for IoT-Based WSNs. .- Ambiguous sets and various distance measurements. .- The Study on Face recognition using Between Convolutional Neural Network (CNN) and Local Binary Histogram (LBPH) with Censored Facial Images. .- An Air-written Real-time English Isolated Numeral Recognition. .- The PV-ALE Dataset: Enhancing Apple Leaf Detection and Classification Through Transfer Learning with Convolutional Neural Networks. .- Impact of SMOGN on Regression Models for Crop Yield Prediction in Mizoram Agriculture. .- Deep Learning for Sustainable Apple Farming: Disease Detection in Leaves. .- Forecasting Coffee Prices with Facebook Prophet: A Machine Learning Approach. .- Enhancing Hindi Named Entity Recognition using XLM-RoBERTa. .- Neural Network Architectures for Machine Translation: Enhancing Quality Education through Improved Access to Multilingual Resources. .- Optimizing Error Detection in Generated Code Using Metaheuristic Optimized Natural Language Processing. .- Enhancing Graph Based Models For Automatic Program Repair. .- Enhancing Grapheme-to-Phoneme Conversion for Bengali Speech Recognition: Leveraging Dialectical Variations and Morphophonemic Rules. .- Determinants of Generative AI-based Chatbot Adoption in Customer Support. .- ToxNet: A Multi-layer Network Approach to Toxicity Analysis using Graph Neural Networks. .- Multiphase Sentiment Analysis Model for Automatic Movie Reviews. .- An Interpretable Deep Learning Framework For Brain Tumor Diagnosis using UNET and CAM Techniques. .- Connecting the Dots: Understanding the Influence of Online Social Networks on Mental Wellness via Social Network Analysis. .- Drug target identification using integrative multi-omics data analysis and deep learning - a breast cancer case study. .- A Stack Ensemble Model for Paralysis Prediction from Lower Limb EMG Signals using Machine Learning Approaches. .- Lung Cancer Detection using Deep-Learning models. .- Inclusive Innovation: Early Detection Strategy for Lung Cancer Using Ensembles. .- Psychological State Analysis for Technostress Detection: A Hierarchical Clustering Approach.
.- Theory and Methods. .- A Prediction-Enabled Scheduling Framework for Cloud Manufacturing Applications. .- Evaluating the need of Reinforcement Learning by implementing Heuristic Algorithms with its Load Balancing and Performance Testing in Cloud. .- Optimizing XGBoost for Blockchain Malicious Node Detection by Metaheuristics. .- A Correct-by-Construction Model for Request-Based Access Control. .- Lattice-based Post Quantum Cryptography using Variations of Learning with Error (LWE). .- A Spatio-Temporal Explainable Deep Learning Approach for Frame Classification from Book Flipping Videos. .- Adapting a Modern Siamese Framework for 360° Video Object Tracking. .- Detecting Deepfake Images with Enhanced Generative Adversarial Networks. .- CRITIC and TOPSIS-Enhanced Fuzzy Clustering (CTEFC) Protocol for IoT-Based WSNs. .- Ambiguous sets and various distance measurements. .- The Study on Face recognition using Between Convolutional Neural Network (CNN) and Local Binary Histogram (LBPH) with Censored Facial Images. .- An Air-written Real-time English Isolated Numeral Recognition. .- The PV-ALE Dataset: Enhancing Apple Leaf Detection and Classification Through Transfer Learning with Convolutional Neural Networks. .- Impact of SMOGN on Regression Models for Crop Yield Prediction in Mizoram Agriculture. .- Deep Learning for Sustainable Apple Farming: Disease Detection in Leaves. .- Forecasting Coffee Prices with Facebook Prophet: A Machine Learning Approach. .- Enhancing Hindi Named Entity Recognition using XLM-RoBERTa. .- Neural Network Architectures for Machine Translation: Enhancing Quality Education through Improved Access to Multilingual Resources. .- Optimizing Error Detection in Generated Code Using Metaheuristic Optimized Natural Language Processing. .- Enhancing Graph Based Models For Automatic Program Repair. .- Enhancing Grapheme-to-Phoneme Conversion for Bengali Speech Recognition: Leveraging Dialectical Variations and Morphophonemic Rules. .- Determinants of Generative AI-based Chatbot Adoption in Customer Support. .- ToxNet: A Multi-layer Network Approach to Toxicity Analysis using Graph Neural Networks. .- Multiphase Sentiment Analysis Model for Automatic Movie Reviews. .- An Interpretable Deep Learning Framework For Brain Tumor Diagnosis using UNET and CAM Techniques. .- Connecting the Dots: Understanding the Influence of Online Social Networks on Mental Wellness via Social Network Analysis. .- Drug target identification using integrative multi-omics data analysis and deep learning - a breast cancer case study. .- A Stack Ensemble Model for Paralysis Prediction from Lower Limb EMG Signals using Machine Learning Approaches. .- Lung Cancer Detection using Deep-Learning models. .- Inclusive Innovation: Early Detection Strategy for Lung Cancer Using Ensembles. .- Psychological State Analysis for Technostress Detection: A Hierarchical Clustering Approach.
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