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Proceedings of International Conference on Computational Technologies for Research in Data Analytics

ICCTRDA 2025, Volume 4
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Predicting student performance based on incremental ensemble learning.- Smart Grocery Management: Expiry Date Detection Using YOLOv8 and Optical Character Recognition.- The Impact of Artificial Intelligence in Medical Imaging: Trends, Gaps, and Future Direction.- Multi-objective ESG Portfolio Optimization and Green Economic Resource Allocation Strategy Driven by Reinforcement Learning.- Factualguard: Enhancing Trust In Online Information Through Automated Fake News Detection.- A priority list based approach for solving thermal unit commitment problem with dynamic programming algorithm.- Classification of Cardiac ECG Signals Using Quadratic Discriminant Analysis for Atrial Fibrillation.- Fault Diagnosis Method for Wind Turbine Drive Train Based on Acoustic-Vibration System.- Bridging Natural Language and Autonomous Action: LLM-Driven AI Agents for Human-Machine Collaboration.- Adaptive Multi-Modal AI Agents: Leveraging Large Language Models for Dynamic Real-World Environments.- Prediction of External Corrosion Rate and Location of High-Risk Sections of Buried Pipelines Based on Spatiotemporal Graph Convolutional Network (ST-GCN).- Achieving Atomice Context Consistency in large -Scale Multi- Agent Systems via Decentralized Trust - Weighted Consensus.- Privacy-Preserving Collaborative Learning for Chronic Heart Failure: A Federated Approach With Explainable Deep Learning and Real-Time Treatment Adaptation.- Blockchain- Enhanced Digital Twin Security for Industrial IoT (IIoT).- Investigating the Impact of Augmented Reality on Physical Education Curriculum.- Academic performance prediction in a blended learning model based on GRU-LSTM with Fractional Greater Cane Rat Algorithm.

Produktdetails
  • Erscheinungsdatum: 09.08.2026
  • Autor/Autorin: Nguyen Gia Nhu
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 66.8 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 583 Seiten
  • ISBN: 9783032256942
  • 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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