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    1. Data och IT
    2. Systemvetenskap och AI

    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

    1 772 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.