Soft Computing and Its Engineering Applications
Description
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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Content
.- 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.