06900nam a22006615i 4500 978-3-031-69986-3 DE-He213 20251030112921.0 cr nn 008mamaa 240830s2024 sz | s |||| 0|eng d 9783031699863 978-3-031-69986-3 10.1007/978-3-031-69986-3 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 II / edited by Mieczyslaw Lech Owoc, Felix Enigo Varghese Sicily, Kanchana Rajaram, Prabavathy Balasundaram. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVIII, 518 p. 227 illus., 181 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 ; 718 -- Applications of AI/ML in KDM, Cloud Computing & Security. -- Healthify App Using Blockchain with Cloud. -- A Systematic Review of Various Deep Learning Techniques for Network Intrusion Detection System. -- Intrusion Detection System Trends: An Overview of Current Advances in IoV & Communication Networks. -- Automation Xtreme -A web automation AI Tool. -- Defending the Digital Frontier URL-based Phishing Detection Extension. -- Guarding the Digital Frontier: A Logistic Regression Approach to Malware Detection. -- Hybrid Efficient IDS Against Adversarial Attacks in IoT Networks. -- Data Analytics. -- Real-Time Soil Moisture Sensing using Arduino for Automated Plant Irrigation System. -- Campus Placement and Salary Prediction: Leveraging Machine Learning for Enhanced Employability. -- Exploring Corrosion Detection: Deep Learning and Ensemble Approaches Analysis. -- Comic Generation using AI - A Review. -- Residential Price Analysis Using Machine Learning. -- AI-Driven Interviewer: Enhancing Interview Experience Through Conversational AI. -- Human Abnormal Activity Detection. -- Campus Drive Portal on Career Advancement for College Students. -- Deception Detection using Random Forest and KNN. -- Analyzing Meteorological Data for Curated Music Selection. -- Remote and Centralized Billing System using Cloud Computing. -- Information Extraction using RPA and Generative AI from Unstructured Documents: A case of Invoices. -- Harnessing Machine Learning-Based Classification Techniques to Optimize Crop and Fertilizer Recommendations. -- Cyberbullying Predictive Analysis on Twitter data with Multi-Model Supervised Technique. -- Heart Attack Prediction Using Big Data Analytics. -- Bloom’s Taxonomy based Question Analysis for Personalized Learning. -- Snowfall Forecasting with Enhanced Accuracy: Leveraging Multi-Class SVM for Meteorological Predictions. .-Crop Irrigation Advisory system using Federated Logistic Regression. -- Supply Chain Management Using Optimzation and Machine Learning Techniques. -- Cricket Forecast: Unraveling Future Matches’ Outcomes. -- Deep Learning Ensemble for Diabetes Prediction: Integrating LSTM, DCNN, and SMOTE for Enhanced Risk Assessment. -- Optimizing Hyperspectral Image Classification through Swin Transformer Integration and CNN Feature Extraction. -- Efficient Task allocation with Mentorship Mapping in Crowd sourcing Platforms. -- Applications of ML. -- Designing an Enhanced Swarm-Based Optimization Algorithm for High Utility Itemsets Mining. -- Bus Route Tracking System. -- Sentiment Analysis of Various Ride Sharing Applications Reviews: A Comparative Analysis between Deep Learning and Machine Learning Algorithms. -- Quantum-DL Integration for Precise Remote Sensing Image Classification. -- Review on Biomedical Informatics through the Versatility of Generative Adversarial Networks. -- Machine Learning Powered Nutritional Guidance System using Personalized Nutritional and Digital Health Record. -- Predicting Hospital Length of Stay Using Light Gradient Boosting Machine Regression. -- Electroencephalogram Based Stress Detection Using Machine Learning. 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 were presented in these proceedings were carefully reviewed and selected from 259 submissions. The conference papers are organized in topical sections on: 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 83222 Rajaram, Kanchana. editor. (orcid)0000-0002-2591-2482 https://orcid.org/0000-0002-2591-2482 edt http://id.loc.gov/vocabulary/relators/edt 83223 Balasundaram, Prabavathy. editor. (orcid)0000-0003-3903-0410 https://orcid.org/0000-0003-3903-0410 edt http://id.loc.gov/vocabulary/relators/edt 83224 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031699856 Printed edition: 9783031699870 Printed edition: 9783031699887 IFIP Advances in Information and Communication Technology, 1868-422X ; 718 https://doi.org/10.1007/978-3-031-69986-3 ZDB-2-SCS ZDB-2-SXCS 62878 62878