Computational Intelligence in Data Science

TRAMA

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 21–23, 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.

SOMMARIO

.- 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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031699818
• Collana: IFIP Advances in Information and Communication Technology
• Dimensioni: 235 x 155 mm
• Formato: Copertina rigida
• Illustration Notes: XVIII, 466 p. 269 illus., 187 illus. in color.
• Pagine Arabe: 466
• Pagine Romane: xviii