Nyhet

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 2863 i serien Communications in Computer and Information Science

1 012 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

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:2026-05-22
Mått:155 x 235 x 29 mm
Vikt:791 g
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.