Pathan / Pokhrel / Li | Computational Intelligence and Soft Computing | Buch | 978-981-957291-5 | www.sack.de

Buch, Englisch, 358 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 563 g

Reihe: Communications in Computer and Information Science

Pathan / Pokhrel / Li

Computational Intelligence and Soft Computing

First International Conference, CISCom 2025, Melaka, Malaysia, November 26-27, 2025, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-981-957291-5
Verlag: Palgrave Macmillan

First International Conference, CISCom 2025, Melaka, Malaysia, November 26-27, 2025, Proceedings, Part II

Buch, Englisch, 358 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 563 g

Reihe: Communications in Computer and Information Science

ISBN: 978-981-957291-5
Verlag: Palgrave Macmillan


This book constitutes the refereed proceedings of the First International Conference on Computational Intelligence and Soft Computing, CISCom 2025, held in Melaka, Malaysia, during November 26–27, 2025.

The 52 full papers presented in this volume were carefully reviewed and selected from 281 submissions. 

These papers focus on platform for high-quality research exchange and fostering collaboration among scholars from around the world.

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Zielgruppe


Research

Weitere Infos & Material


.- Enhancing Learner Engagement in MOOCs through Sentiment Analysis and Chatbot Integration.

.- Augmenting Collective Intelligence through Human–AI Co-Creation in Real-Time Platforms.

.- Next-Generation Soft Computing Frameworks for Sustainable Cyber-Physical Systems in Industry 5.0.

.- A Federated Learning Framework for Privacy-Preserving Healthcare Diagnostics Using Biomedical Signal Analysis.

.- CEO Personality Traits and Industry Sectors: An Assessment Based on the Standard Industrial Classification.

.- Enhancing Predictive Efficiency: Feature Engineering Approaches to Financial Distress Prediction.

.- A Multi Modal Feature Fusion Approach to Hand Sign Recognition.

.- Experiential Dimensions of AI-Driven Platforms in Shared Workspaces: An Empirical Analysis.

.- Tracker-Based Hand Gesture Recognition System for Music Player Control in Android.

.- Transformer-Based Water Quality Prediction with Positional Encoding for Proactive Aquaculture Management.

.- Comparative Predictive Analysis using ML Algorithms for Patient Readmission Reduction.

.- Optimizing Supply Chain Efficiency to Determine the Transportation Operation for Beauty Products using Predictive Analytics.

.- Enhanced Embryo Quality Classification for IVF Treatment Using Attention- Based Deep Learning Approaches.

.- Adaptive Fuzzy Logic Framework for Context-Aware Blockchain Security.

.- An Analysis on LLM Integration in Unreal Engine 5 for Dynamic NPCs in Video Games.

.- Optimizing Dental Radiograph Quality with an Im-proved Wiener Filter: A PSNR and SSIM-Based Analysis.

.- An Effective Approach for Load Balancing and Resource Scheduling in Cloud- Based Healthcare Communication.

.- Robust Statistical Depth Methods for Medical Data: A Focus on Location Estimation and Classification.

.- AI IN AGRICULTURE: CROP MONITORING AND PRECISION FARMING.

.- IoT based Real-Time Monitoring of Water Quality Parameters in Bio Floc Aquaculture Systems.

.- Temporal-Enhanced Interpretable Multi-Modal Prognosis and Risk Stratification Framework for Diabetic Retinopathy (TIMM-ProRS).

.- Marine Species Classification Using Deep Learning Techniques.

.- A Study on Robust Feature Selection Methods using LASSO, LASSO Variants and Ridge Regression in Sports.

.- A Penalized Maximum Likelihood Estimation for the Log-Logistic Distribution with Complete Data.

.- An Intelligent Hybrid Framework of Genetic Algorithms and Neural Networks for Climate Prediction.

.- AI-Based Craniometric Landmark Detection and Forensic Identification Using Linear and Geometric Morphometrics.



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