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

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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 2123, 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.
.- 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.

.- Blooms 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.