06822nam a22006615i 4500 978-3-031-69982-5 DE-He213 20251030112921.0 cr nn 008mamaa 240830s2024 sz | s |||| 0|eng d 9783031699825 978-3-031-69982-5 10.1007/978-3-031-69982-5 doi QA76.9.D343 UNF bicssc UYQE bicssc COM021030 bisacsh UNF thema UYQE thema Computational Intelligence in Data Science [electronic resource] : 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. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVIII, 466 p. 269 illus., 187 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda IFIP Advances in Information and Communication Technology, 1868-422X ; 717 -- 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. 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. Data mining. 6941 Application software. Artificial intelligence. 58441 Image processing Digital techniques. 64228 Computer vision. Computers. 65793 Data Mining and Knowledge Discovery. Computer and Information Systems Applications. Artificial Intelligence. 58441 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Computing Milieux. 66530 Owoc, Mieczyslaw Lech. editor. edt http://id.loc.gov/vocabulary/relators/edt 73591 Varghese Sicily, Felix Enigo. editor. (orcid)0000-0002-1395-4722 https://orcid.org/0000-0002-1395-4722 edt http://id.loc.gov/vocabulary/relators/edt 83219 Rajaram, Kanchana. editor. (orcid)0000-0002-2591-2482 https://orcid.org/0000-0002-2591-2482 edt http://id.loc.gov/vocabulary/relators/edt 83220 Balasundaram, Prabavathy. editor. (orcid)0000-0003-3903-0410 https://orcid.org/0000-0003-3903-0410 edt http://id.loc.gov/vocabulary/relators/edt 83221 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031699818 Printed edition: 9783031699832 Printed edition: 9783031699849 IFIP Advances in Information and Communication Technology, 1868-422X ; 717 https://doi.org/10.1007/978-3-031-69982-5 ZDB-2-SCS ZDB-2-SXCS 62877 62877