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Computational Intelligence in Data Science 7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21–23, 2024, Revised Selected Papers, Part II /

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...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Owoc, Mieczyslaw Lech (Redattore), Varghese Sicily, Felix Enigo (Redattore), Rajaram, Kanchana (Redattore), Balasundaram, Prabavathy (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Serie:IFIP Advances in Information and Communication Technology, 718
Soggetti:
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.
Accesso online:https://doi.org/10.1007/978-3-031-69986-3
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Sommario:
  • -- 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.

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