{"product_id":"9783031699856","title":"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 718) (2024. 2024. xviii, 5","description":"\u003cp\u003eThese 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.\u003c\/p\u003e\u003cp\u003eThe 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:\u003c\/p\u003e\u003cp\u003ePart I - Applications of AI\/ML in Natural Language Processing; and Applications of AI\/ML in Image Processing.\u003c\/p\u003e\u003cp\u003ePart II - Applications of AI\/ML in KDM, Cloud Computing \u0026amp; Security; Data Analytics;\u003cstrong\u003e \u003c\/strong\u003eand Applications of ML.\u003c\/p\u003e \u003cp\u003e.- \u003cstrong\u003eApplications of AI\/ML in KDM, Cloud Computing \u0026amp; Security\u003c\/strong\u003e.\n.- Healthify App Using Blockchain with Cloud.\n.- A Systematic Review of Various Deep Learning Techniques for Network Intrusion Detection System.\n.- Intrusion Detection System Trends: An Overview of Current Advances in IoV \u0026amp; Communication Networks.\n.- Automation Xtreme -A web automation AI Tool.\n.- Defending the Digital Frontier URL-based Phishing Detection Extension.\n.- Guarding the Digital Frontier: A Logistic Regression Approach to Malware Detection.\n.- Hybrid Efficient IDS Against Adversarial Attacks in IoT Networks.\n.- \u003cstrong\u003eData Analytics\u003c\/strong\u003e.\n.- Real-Time Soil Moisture Sensing using Arduino for Automated Plant Irrigation System.\n.- Campus Placement and Salary Prediction: Leveraging Machine Learning for Enhanced Employability.\n.- Exploring Corrosion Detection: Deep Learning and Ensemble Approaches Analysis.\n.- Comic Generation using AI - A Review.\n.- Residential Price Analysis Using Machine Learning.\n.- AI-Driven Interviewer: Enhancing Interview Experience Through Conversational AI.\n.- Human Abnormal Activity Detection.\n.- Campus Drive Portal on Career Advancement for College Students.\n.- Deception Detection using Random Forest and KNN.\n.- Analyzing Meteorological Data for Curated Music Selection.\n.- Remote and Centralized Billing System using Cloud Computing.\n.- Information Extraction using RPA and Generative AI from Unstructured Documents: A case of Invoices.\n.- Harnessing Machine Learning-Based Classification Techniques to Optimize Crop and Fertilizer Recommendations.\n.- Cyberbullying Predictive Analysis on Twitter data with Multi-Model Supervised Technique.\n.- Heart Attack Prediction Using Big Data Analytics.\n.- Bloom's Taxonomy based Question Analysis for Personalized Learning.\n.- Snowfall Forecasting with Enhanced Accuracy: Leveraging Multi-Class SVM for Meteorological Predictions.\n.-Crop Irrigation Advisory system using Federated Logistic Regression.\n.- Supply Chain Management Using Optimzation and Machine Learning Techniques.\n.- Cricket Forecast: Unraveling Future Matches' Outcomes.\n.- Deep Learning Ensemble for Diabetes Prediction: Integrating LSTM, DCNN, and SMOTE for Enhanced Risk Assessment.\n.- Optimizing Hyperspectral Image Classification through Swin Transformer Integration and CNN Feature Extraction.\n.- Efficient Task allocation with Mentorship Mapping in Crowd sourcing Platforms.\n.- \u003cstrong\u003eApplications of ML\u003c\/strong\u003e.\n.- Designing an Enhanced Swarm-Based Optimization Algorithm for High Utility Itemsets Mining.\n.- Bus Route Tracking System.\n.- Sentiment Analysis of Various Ride Sharing Applications Reviews: A Comparative Analysis between Deep Learning and Machine Learning Algorithms.\n.- Quantum-DL Integration for Precise Remote Sensing Image Classification.\n.- Review on Biomedical Informatics through the Versatility of Generative Adversarial Networks.\n.- Machine Learning Powered Nutritional Guidance System using Personalized Nutritional and Digital Health Record.\n.- Predicting Hospital Length of Stay Using Light Gradient Boosting Machine Regression.\n.- Electroencephalogram Based Stress Detection Using Machine Learning.\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING","offers":[{"title":"Default Title","offer_id":48857372229867,"sku":"00000_00000_00000_00000","price":194.08,"currency_code":"SGD","in_stock":false}],"url":"https:\/\/kinokuniya.com.sg\/products\/9783031699856","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}