Information Systems for Intelligent Systems

Proceedings of ISBM 2024, Volume 3
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Inhaltsangabe

Mathematical Modeling and Performance Optimization of Power Generating Unit of Large-Scale Sewage Treatment Plants.- Improving the Prediction Model of Food Consumption Behavior Analytics of Diabetic Patients in Northern Thailand Using Data Mining Techniques.- Interpretation of Liquid Milk Samples Quality through Ensemble Learning.- Design of Low Power Compressors Using Full Adder.- Cardiovascular Disease Risk Prediction Using AI-Enabled Ensemble Bagging and Adaboost Supervised Machine Learning Classifiers.- A Bibliometric Analysis on Green Recruitment and Selection (GRS).- The Impact of Human Capital Investment on Employee Retention Intention in the Private Banks of Yangon, Myanmar.- Machine Learning based Trust Management Model for Fog2Fog Network.- Two-Factor Authentication System Components Design to Support Academic Information Systems.- Aspect Based Sentiment Analysis of Nepali Text using BERT based Model.- The Potential Development of Tourism Services and Tourism Communication Models in a Northern National Park for Carbon-Neutral Tourism Support Using Data Mining Analytics.- An Efficient Authentication Supporting Network Slicing Protocol for 5G-IoT-Based.- Survey On Transfer Learning for Enhanced Diabetic Retinopathy Detection.- Factors Affecting User's Trust on Social Network Sites Regarding Personalized Advertising Based on Social Media Privacy Theory.- Harnessing Social Media Analytics for Modern Business Intelligence: A Comprehensive Analysis.- Engineering Business Solutions: Advancing SME Competitiveness through IIoT-Driven Coopetition.- Clearing Faces in Blurred Surveillance Images: Evaluating the Effectiveness of Deliberate Blur Simulation for Face Detection.- Usability Evaluation of Video Conferencing Tools in Education.- Natural Language Processing for Insider Threat Email Detection Optimized by Modified Metaheuristics.- Revolutionising Healthcare: Unleashing the Potential of Artificial Intelligence for Beyond-Conventional Advancements.- Integrating Explainable AI with Deep Neural Networks to Improve Employee Attrition Prediction.- Predicting Financial Restatements of Listed Companies in Vietnam Using Data Mining Techniques.- Improved Automated Irrigation System Using MicroPython.- Traffic Management using Intelligent Transportation System based on Vehicular Ad hoc Networks.

Produktdetails
  • Erscheinungsdatum: 24.06.2025
  • Autor/Autorin: Andres Iglesias
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 31.6 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 500 Seiten
  • ISBN: 9789819617418
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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