Computational Intelligence in Data Science : 7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21–23, 2024, Revised Selected Papers, Part I / / edited by Mieczyslaw Lech Owoc, Felix Enigo Varghese Sicily, Kanchana Rajaram, Prabavathy Balasundaram

• Autore: Owoc Mieczyslaw Lech
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (482 pages)
• Disciplina: 006.312
• Soggetto topico: Data mining; Application software; Artificial intelligence; Image processing - Digital techniques; Computer vision; Computers; Data Mining and Knowledge Discovery; Computer and Information Systems Applications; Artificial Intelligence; Computer Imaging, Vision, Pattern Recognition and Graphics; Computing Milieux
• Altri autori: Varghese SicilyFelix Enigo RajaramKanchana BalasundaramPrabavathy
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Computational Intelligence in Data Science
• ISBN: 3-031-69982-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910886100703321
• Lo trovi qui: Univ. Federico II
• Serie: IFIP Advances in Information and Communication Technology, . 1868-422X ; ; 717