Computational Intelligence in Data Science

7th IFIP TC 12 International Conference, ICCIDS 2024, Chennai, India, February 21–23, 2024, Revised Selected Papers, Part II

AvMieczyslaw Lech Owoc,Felix Enigo Varghese Sicily

Inbunden, Engelska, 2024

Del 718 i serien IFIP Advances in Information and Communication Technology

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-08-30
Mått:155 x 235 x 35 mm
Vikt:963 g
Format:Inbunden
Språk:Engelska
Serie:IFIP Advances in Information and Communication Technology
Antal sidor:518
Förlag:Springer International Publishing AG
ISBN:9783031699856

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Innehållsförteckning

.- 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.