Computational Intelligence in Data Science

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.

Inhalt

.- 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.
.- Driver's 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.