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Soft computing and its engineering applications = 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, revised selected papers.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing and its engineering applications/ edited by Kanubhai K. Patel ... [et al.].
其他題名:	6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, revised selected papers.
其他題名:	icSoftComp 2024
其他作者:	Patel, Kanubhai K.
團體作者:	International Conference on Soft Computing and its Engineering Applications
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xx, 419 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Soft computing - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-88039-1
ISBN:	9783031880391

Soft computing and its engineering applications = 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, revised selected papers.. Part I /
Soft computing and its engineering applications6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, revised selected papers.Part I /[electronic resource] :icSoftComp 2024edited by Kanubhai K. Patel ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xx, 419 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,24301865-0937 ;. - Communications in computer and information science ;2430..

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.

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.

ISBN: 9783031880391

Standard No.: 10.1007/978-3-031-88039-1doiSubjects--Topical Terms:

606821
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Soft computing and its engineering applications = 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, revised selected papers.. Part I /
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