{"product_id":"9783031880384","title":"Soft Computing and Its Engineering Applications : 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part I (Communications in Computer and Information Science 2430) (2025. xx, 419 S. XX, 419 p","description":"\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eThe 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: \nPart I : Theory and Methods.\nPart II : Theory and Methods; Systems and Applications; Hybrid Techniques; Soft Computing for Smart World.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Theory and Methods.\u003c\/strong\u003e\n.- A Prediction-Enabled Scheduling Framework for Cloud Manufacturing Applications.\n.- Evaluating the need of Reinforcement Learning by implementing Heuristic Algorithms with its Load Balancing and Performance Testing in Cloud.\n.- Optimizing XGBoost for Blockchain Malicious Node Detection by Metaheuristics.\n.- A Correct-by-Construction Model for Request-Based Access Control.\n.- Lattice-based Post Quantum Cryptography using Variations of Learning with Error (LWE).\n.- A Spatio-Temporal Explainable Deep Learning Approach for Frame Classification from Book Flipping Videos.\n.- Adapting a Modern Siamese Framework for 360° Video Object Tracking.\n.- Detecting Deepfake Images with Enhanced Generative Adversarial Networks.\n.- CRITIC and TOPSIS-Enhanced Fuzzy Clustering (CTEFC) Protocol for IoT-Based WSNs.\n.- Ambiguous sets and various distance measurements.\n.- The Study on Face recognition using Between Convolutional Neural Network (CNN) and Local Binary Histogram (LBPH) with Censored Facial Images.\n.- An Air-written Real-time English Isolated Numeral Recognition.\n.- The PV-ALE Dataset: Enhancing Apple Leaf Detection and Classification Through Transfer Learning with Convolutional Neural Networks.\n.- Impact of SMOGN on Regression Models for Crop Yield Prediction in Mizoram Agriculture.\n.- Deep Learning for Sustainable Apple Farming: Disease Detection in Leaves.\n.- Forecasting Coffee Prices with Facebook Prophet: A Machine Learning\nApproach.\n.- Enhancing Hindi Named Entity Recognition using XLM-RoBERTa.\n.- Neural Network Architectures for Machine Translation: Enhancing Quality Education through Improved Access to Multilingual Resources.\n.- Optimizing Error Detection in Generated Code Using Metaheuristic Optimized Natural Language Processing.\n.- Enhancing Graph Based Models For Automatic Program Repair.\n.- Enhancing Grapheme-to-Phoneme Conversion for Bengali Speech Recognition: Leveraging Dialectical Variations and Morphophonemic Rules.\n.- Determinants of Generative AI-based Chatbot Adoption in Customer Support.\n.- ToxNet: A Multi-layer Network Approach to Toxicity Analysis using\nGraph Neural Networks.\n.- Multiphase Sentiment Analysis Model for Automatic Movie Reviews.\n.- An Interpretable Deep Learning Framework For Brain Tumor Diagnosis using UNET and CAM Techniques.\n.- Connecting the Dots: Understanding the Influence of Online Social Networks on Mental Wellness via Social Network Analysis.\n.- Drug target identification using integrative multi-omics data analysis and deep learning - a breast cancer case study.\n.- A Stack Ensemble Model for Paralysis Prediction from Lower Limb EMG Signals using Machine Learning Approaches.\n.- Lung Cancer Detection using Deep-Learning models.\n.- Inclusive Innovation: Early Detection Strategy for Lung Cancer Using Ensembles.\n.- Psychological State Analysis for Technostress Detection: A Hierarchical Clustering Approach.\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING","offers":[{"title":"Default Title","offer_id":45660897280079,"sku":"00000_00000_00000_00000","price":6300.0,"currency_code":"TWD","in_stock":false}],"url":"https:\/\/kinokuniya.com.tw\/products\/9783031880384","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}