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E-raamat: Computational Intelligence in Data Science: 7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21-23, 2024, Revised Selected Papers, Part I

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These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chennai, India, during February 2123, 2024.





The 63 full papers and 9 short papers presented in these proceedings were carefully reviewed and selected from 259 submissions. The conference papers are organized in following topical sections:





Part I: Applications of AI/ML in Natural Language Processing; and Applications of AI/ML in Image Processing.





Part II: Applications of AI/ML in KDM, Cloud Computing & Security; Data Analytics; and Applications of ML.
.- Applications of AI/ML in Natural Language Processing.

.- Analyzing the Computational Efficiency of LLM Models for NLP Tweet
classification during emergency crisis.

.- Drug Sentiment Analysis: A Comprehensive Study using Regression Models and
Natural Language Processing.

.- Chatbot In Banking Sector Using Machine Learning and Natural Language
Processing.

.- Lecter - A Large Language Model Chatbot for Cognitive Behavioral Therapy.

.- Evaluating the Language Translation Accuracy of GPT 3.5 using Prompt
Engineering.

.- Multi-Camera Enhanced Real-Time Content- Aware Vehicle Detection.

.- COOL: Classification of Online Offensive Language using Machine Learning
and Deep Learning.

.- Improved Evaluator for Subjective Answers Using Natural Language
Processing.

.- Self-Harm Detection from Texts: A Comparative Study Utilizing BERT,
Machine Learning, and Deep Learning Approaches.

.- Neuro-evolution based Language Model for Text Generation.

.- Official Language Detection on Telugu Language.

.- User story Based Automated Test Case Generation using NLP.

.- Anticipating Future College Admission Cutoffs: An Innovative Predictive
Model Incorporating Student Reviews and Historical Admissions Cutoff Data
using Machine Learning.

.- Sentiment Analysis for Stock Prediction Using Mass Media Sources.

.- Applications of AI/ML in Image Processing.

.- CADFRA: Coronary Artery Disease Feature Reduction with Autoencoder for
Optimistic and Effective Classification of Cardiac Diseases.

.- Machine Learning Based Alzheimer's Disease Detection: A Comprehensive
Approach.

.- Supervised Learning of Procedures from Tutorial Videos.

.- Noise removal of Low Dose CT Liver Images Using Improved Discrete Wavelet
Transform.

.- A - Eye Tracker: Human Eye Defect Tracking and Analyzing Software.

.- Design and Analysis of Structural Health Monitoring System for the
Diagnosis of Morphological Deformities of Bolted Structures.

.- Empowering Medical Image Analysis: Unveiling Anomalies through GANs and
BiGANs Models.

.- Pneumonia Detection using Chest X-rays: A comprehensive Review.

.- Realistic Avatar Control through Video-Driven Animation for Augmented
Reality.

.- CNN-based Skin Lesion Classification for Melanoma Detection.

.- Self-annotated Labelling and Training Data for Traffic Video Object
Detection using Machine Learning Techniques.

.- A Comparative Analysis on various Machine learning Methods for GAN Based
Video Anomaly Detection.

.- D3CNet: Integrating Cascade Networks for Enhanced Driver Fatigue
Monitoring.

.- Automated Indigenous Plant Recognition and Medicinal Value Extraction
System.

.- An Ensemble of Deep Transfer Learning Frameworks for Automatic
Tuberculosis Detection in Chest X-Ray Images.

.- SVM-Based Skin Cancer Diagnosis for Malignant and Benign Tumor
Distinction.

.- Drivers Distraction Detection via Hybrid CNN-LSTM.

.- Leaf Disease Detection using ResNet Deep Neural Network.

.- An Exploration of Object Detection and Vehicular Communication for
Autonomous Vehicles.

.- Music Recommendation System based on Facial Expression using CNN.