Data Management Technologies and Applications

.- Adaptive Online Learning Framework for Optimizing Ballast Water Management Systems in Maritime Environmental Protection.
.- Anomaly Detection in Industry 4.0: A Comparative Study of Supervised and Semi-Supervised Approaches with OPC-UA.
.- Predictions of Hotel Dynamic Pricing for Revenue Management System.
.- A Community-Driven, Quantum-Enhanced Open-Source Infrastructure for Sustainable Opioid Use Disorder Detection.
.- Intelligent Sampling System for Connected Vehicle Feature Analytics.
.- Malaria in India: An Exploratory Study Using Climatic and Environmental Factors.
.- Proposing a Four-Component Model for Analysing Political Communication over Social Media: Case Study on Stakeholder Strategies in the Russo-Ukrainian War.
.- Clustering Analysis to Determine the Optimizing Potentials in Drivetrain Consumption with SHAP Analysis.
.- Longitudinal Analysis of Impact of Gender on Engagement and Performance in Higher Education.
.- Detecting Hate Speech in Brazilian Portuguese: A Comparative Analysis of Deep Learning Approaches.
.- A Quality-Centric Mapping Study of Machine Learning Classification Techniques in Cardiology: Key Trends, Datasets, and Performance Improvements.
.- Detecting Streaks in Smart Telescopes Images with Deep Learning.
.- Analysis of Auto Insurance Loss Metrics During Pre-and Post COVID-19 Pandemic Using Spatial and Spatial-temporal Modelling Approaches.
.- Technological Agency in Ontology Visualization: Examining the Role of Tools in Knowledge Production and Representation.
.- The Impact of Review Papers on the Trend of Publications in Artificial Intelligence.

• Erscheinungsdatum: 21.02.2026
• Autor/Autorin: Alfredo Cuzzocrea
• Reihe: Springer Nature Proceedings Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 51.3 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 314 Seiten
• ISBN: 9783032179159
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.