Computational Intelligence in Communications and Business Analytics

7th International Conference, CICBA 2025, Kolkata, India, July 4–6, 2025, Revised Selected Papers, Part III

AvKartick Chandra Mondal,Munmun Bhattacharya

Häftad, Engelska, 2026

Del i serien Communications in Computer and Information Science

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Beskrivning

This three-volume set CCIS 2861-2863 constitutes the refereed proceedings of the 7th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2025, held in Kolkata, India, during July 4-6, 2025.The 100 full papers presented in these volumes were carefully reviewed and selected from 311 submissions. The papers are organized into thematic tracks as follows:Computational Intelligence; Data Communication; and Analytics and Application.

Produktinformation

Utgivningsdatum:2026-05-25
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:508
Förlag:Springer Nature Switzerland AG
ISBN:9783032171832

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
Programmeringsböcker inom Data och IT

Innehållsförteckning

.- Analytic Track .- Federated Learning in Healthcare: A case study on Covid-19..- Development of Online Handwritten Bangla Digit Dataset for Mobile Application..- Detection of Fake News In Social Media Using Supervised Machine Learning Approach..- Detecting Profile Cloning on Online Social Networks with Machine Learning..- Comparative Analysis of Apache Spark and Apache Kafka for Efficient Data Integration for Real-Time Data Processing..- A Method On The Impact Of Low-detail Images Versus AI-enhanced Images Using Deep Learning For Facial Emotion Recognition..- Enhancing Flight Delay Prediction with a Spatio-Temporal Graph Attention Network: A Graph-Based Approach to Modeling Airport Interdependencies..- A Comparative Analysis on Deep Learning Approaches for Sentiment Analysis of Food Review Data with Class Imbalance..- A framework in Generative AI for preventing Suicidal Thoughts..- ResNet50-based Medicinal Plant Leaf Classification..- An Alarming Threat of Light Pollution in Ahmedabad City: Efficient Time-series Forecasting Framework..- PulmoConnect: An Integrated Mobile Platform for Enhanced Doctor–Patient Communication at the Institute of Pulmocare and Research..- An Enhanced Adaptive Network Intrusion Detection System using Hybrid Approach..- A Deep Ensemble Species Distribution Model for Multilabel Species Prediction using Multimodal Data..- An Adaptive Reinforcement Learning Framework for Enhancing LLM-Based Medical Diagnostics..- An Efficient LSTM-XGBoost Hybrid for Demand Forecasting in Food Supply Chains..- Enhanced Short-Term Wind Power Ramp Forecasting: A Multi Dataset Validation Approach..- Duplication Fraudulent Detection of Tampered Image using Optimized CNN..- Unlocking Transparency: Judicial Clarity through Explainable AI in the Decision Making Process..- Sustainable Agriculture Through IoT and Data-Driven Irrigation: Machine Learning for Soil Moisture Prediction..- Hybrid Generative Artificial Intelligence Model for Medical Image Synthesis..- Safe Step: Real Time AI-Enabled Navigation System for the Visually Impaired..- On the Study of Resource-Efficient Sentiment Analysis in Social Media: Leveraging Emoji, Hashtags, and Random Forest Classifier..- FinStock-Net – Financial Integration of Short & Medium Trends for Stock Price Prediction..- Forecasting Market Turbulence: A Multi-Model Study Using GARCH, Random Forest, and LSTM in the Indian Stock Market..- Efficient Audio CODEC for IoT devices – leveraging GANs, Adaptive Quantization and Arithmetic Coding..- Automated Smart Irrigation System Using IoT-Enabled Autonomous Vehicle with Predictive Analytics..- Fine-Tuning for Code Intelligence: Evaluating LLMs on Custom Programming Benchmarks..- FedTabTran: A TabTransformer-Based FL Approach for Prediction of Cardiovascular Diseases..- An AI-Powered Fake News Detection System: Analyzing Misinformation in Digital Media..- Multi-Modal Fake News Detection on Online Social Media using Machine Learning and Explainable AI..- DCM-FL: Decentralized Collaborative Multi-client Federated Learning using Layer-Type Aggregation and Knowledge Distillation Methods..- Unmasking the Skies: Statistical and Machine Learning Insights into the Air Quality Shift During COVID-19 Lockdowns in Indian Metropolises..- An Exact Rare Rule Mining Approach Using Minimum Item Support Constraint from Heterogeneous Data..- Leveraging Explainable AI for Rainfall Prediction and Its Impact on Methane Emissions from Rice Paddies Using Multivariate Environmental Data..- Land Use/Land Cover Classification with Spectral Indices and Otsu Thresholding.