Computational intelligence in data science : 7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21-23, 2024, Revised selected papers. Part I /

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 thes...

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Bibliographic Details
Corporate Author: IFIP International Conference on Computational Intelligence in Data Science Chennai, India
Other Authors: Owoc, Mieczysław Lech (Editor), Varghese Sicily, Felix Enigo (Editor), Rajaram, Kanchana (Editor), Balasundaram, Prabavathy (Editor)
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, 2024.
Series:IFIP advances in information and communication technology ; 717.
Subjects:
Table of Contents:
  • 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.