Computational Intelligence in Data Science (eBook, PDF)

7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21-23, 2024, Revised Selected Papers, Part II
Redaktion: Owoc, Mieczyslaw Lech; Balasundaram, Prabavathy; Rajaram, Kanchana; Varghese Sicily, Felix Enigo

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 518
• Erscheinungstermin: 29. August 2024
• Englisch
• ISBN-13: 9783031699863
• Artikelnr.: 72240598

Inhaltsangabe

.- 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.