Computational Intelligence in Data Science : 7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21-23, 2024, Revised Selected Papers, Part II (Ifip Advances in Information and Communication Technology) (2024)

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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 (Ifip Advances in Information and Communication Technology) (2024)

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  • 製本 Hardcover:ハードカバー版/ページ数 518 p.
  • 言語 ENG
  • 商品コード 9783031699856

Full Description

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.

Contents

.- 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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