Soft Computing and Its Engineering Applications

6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10–12, 2024, Revised Selected Papers, Part I

AvKanubhai K. Patel,KC Santosh

Häftad, Engelska, 2025

Del 2430 i serien Communications in Computer and Information Science

1 757 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-05-16
Mått:155 x 235 x 24 mm
Vikt:663 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:419
Förlag:Springer International Publishing AG
ISBN:9783031880384

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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 LearningApproach..- 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 usingGraph 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.