Soft Computing and Its Engineering Applications : 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part II (Communications in Computer and Information Science 2431) (2025. xx, 407 S. XX, 407 p. 176 illus., 152 illus. in color. 235 mm)

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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 II (Communications in Computer and Information Science 2431) (2025. xx, 407 S. XX, 407 p. 176 illus., 152 illus. in color. 235 mm)

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Full 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.

Contents

.- Theory and Methods.
.- DL DTCD: Deep Learning Powered EV Location Prediction and Dynamic TOPSIS Charging Deployment.
.- A Novel Approach of Electrocardiogram Denoising based on Deep Learning CNN and TVD.
.- LSTM GRN: A Deep Learning Model for the Prediction of Gene Regulatory Networks from Single Cell Data.
.- Sense@BoEmo: A Novel Approach to Identify Precise Emotion Sensing Skin of Human Body.
.- Students' Performance Prediction in An E-Learning Platform With Sea Hawk Optimized Single Head Attention Enabled Bi Directional Long Short Term Memory.
.- Traffic crash severity prediction using eXplainable AI.
.- Exploring the Role of Data Filtering and Machine Learning Algorithms in Enhancing RSSI-Based Indoor Positioning Accuracy in Dynamic Environments.
.- Bio Medical Waste Management: Deep Learning Approach.
.- Principles of Basal Area Modeling of Forest Trees and Stands: Bivariate Mixed Effect Parameters Diffusion Process Framework.
.- High Resolution Mapping of Rock Glacier Dynamics in the Sikkim Himalayas, Using remote sensing data.
.- An Efficient On demand Mobile Charger Scheduling in WRSNs Using MJaya Meta Heuristic Algorithm.
.- Systems and Applications.
.- Improving Intrusion Detection System using Feature Weighting.
.- AI enabled Network Intrusion Detection and Classification with UNSW NB15 Datasets.
.- Data Science Techniques to Reduce the Occurrence of False Negatives during Intrusion Detection.
.- Process Mining and Standardized Generic Business Process Tracing for ERP Systems: Requirements for ERP vendors.
.- Hand Gesture Identifying Wearable Input Device for OS-Platform Independent Generic HCI Application in a Multi modal Platform.
.- GeMoP: General Motion Planning in High Speed & Accuracy and Fast Settle application.
.- Rebounded PSO Method for Sigmoid PID Controller for a Maglev System with Input Saturation.
.- A Linear Programming problem in Python and CPLEX, led by Monte Carlo on the Web.
.- Machine Learning Based Performance Evaluation of Spatial Modulation Schemes in Correlated Nakagami m Fading Channels.
.- Prediction of Life Expectancy for India using Time Series Models.
.- Leveraging Machine Learning to Detect and Alleviate Natural Anxiety.
.- Multiple Novel Algorithms Based on TF IDF and Inverse Document Frequency, Experimented with Text Data in the Education Field.
.- Modified Alexnet For English Handwritten Character Recognition.
.- PGP Miner: A Data and Text Mining Tool for PhysicoChemical and Toxicity Data in P glycoprotein (P gp) Inhibitors.
.- InterpretableTruthDetection: Interpretable Bimodal Within Subject Truth and Deception Detection Models.
.- Hybrid Techniques.
.- A Novel Neurofuzzy Architecture for Deterministic Non affine Nonlinear System Identification.
.- A Neuro Evolutionary Framework for Enhancing Communication, Safety, and Decision Making in Connected Car Ecosystems.
.- Soft Computing for Smart World.
.- Smart Scheduling of Home Appliances using Happiness Aware Scalable Reinforcement Learning Agent.
.- Adoption Intention of Smartwatch Technology: A Study Among Runners Using the Health Belief and Technology Acceptance Models.

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