Computational Intelligence in Communications and Business Analytics : 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part I (Communications in Computer and Information Science 2366) (2025. xxiii, 366 S. XXIII, 366 p. 160 illus., 111 illus. in color. 235)

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Computational Intelligence in Communications and Business Analytics : 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part I (Communications in Computer and Information Science 2366) (2025. xxiii, 366 S. XXIII, 366 p. 160 illus., 111 illus. in color. 235)

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Full Description

This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23-25, 2024.

The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.

Contents

Computational Intelligence I.- Depression Clinic People's Mental Health Prediction Using Information from Online Social Media Networks (OSN).- A Novel Hindi Voice Based Assistant System Architecture for E Commerce.- Early Classification of Alzheimer's Disease Using Deep Learning Technique.- Spoken Metro Station Name Identification A Deep Learning Based Approach.- EDR DT A Novel Energy Function Based Enhanced Decision Tree Model for Classification.- Enhancing Agriculture Using Machine Learning Powered Smart Agricultural Systems.- Classification Of Tomato Maturity Levels An Efficient Approach with Statistical Features.- Iot Based Multifunctional Agriculture Monitoring and Smart Irrigation System.- Covid Ct H Unet A Novel Covid 19 CT Segmentation Network Based on Attention Mechanism and Bi Category Hybrid Loss.- A Review on The Efficacy of Different Data Augmentation Technique for Deep Learning.- MLAEDensenet Multi Layer Attention Enhanced Densenet for Efficient Video Action Recognition.- Word Sense Disambiguation for Bodo Language Using Simplified Lesk.- Smali Code Based Fake Application Detection.- From Haze and Smoke to Clarity An Integration of Deep Learning and Atmospheric Model.- Integrating BiLSTM BiGRU with Autoencoders for Enhanced Feature Representation and Deep Q Networks for Clinical Event Classification in Medical Records.- Agile Development Using A Hybrid Approach For Cost Estimation of IT Projects.- Lung Cancer Diagnosis Using Image Enhancement and Machine Learning Methods.- An Ml Based Hybrid Model for IIoT Attack Classification in Industry 4.0 Ecosystem.- Design of an explainable AI Model with Q Convolutional Neural Networks for Patient Health Reporting.- Convolutional Neural Networks for Patient.- Enhancing Visual Question Answering with Beam Search in Transformer Models.- Analyzing The Effect of Coffee Consumption on Visual Pathway Using Visual Evoked Potential (VEP) Signals and Machine Learning Algorithms.- A Survey on Machine Learning Techniques for Recognizing Human Activities Using Smartphone Data.- Digital Twin for Diabetes Management Using System Dynamics Simulation The Case of India.- Analysis Of Occupational Stress Effects and Coping Among Prison Officers A Case of RAK Prison Centre, United Arab Emirates.- Custom Ensemble Machine Learning Algorithm for Interactive Symptom Based Disease Prediction.- Leveraging Handwriting Dynamics, Explainable AI And Machine Learning for Alzheimer Prediction.- Machine Learning Powered Insights A Comprehensive Survey on Pcos Detection and Diagnosis.

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