Computational Intelligence in Data Science

7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21–23, 2024, Revised Selected Papers, Part I

Inbunden, Engelska, 2024

Av Mieczyslaw Lech Owoc, Felix Enigo Varghese Sicily, Kanchana Rajaram, Prabavathy Balasundaram

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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 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.

Produktinformation

Utgivningsdatum2024-08-30
Mått155 x 235 x 32 mm
Vikt887 g
FormatInbunden
SpråkEngelska
SerieIFIP Advances in Information and Communication Technology
Antal sidor466
FörlagSpringer International Publishing AG
ISBN9783031699818

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Informationsteknik: allmänt inom Data och it
Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it

.- 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.