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

ICCTRDA 2025, Volume 2
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Artificial Intelligence-Driven Approaches and Their Impact on Criminal Justice: A Soft Computing Perspective.- Intelligent Building Material Design and Optimization: an Innovative Approach Based on Big Data.- Quantum Machine Learning Architecture for Intrusion Detection in IoT-enabled Smart City for Cloud Security.- Detecting Phishing Attacks Using Recurrent Neural Networks and a Hybrid LSTM-RNN Model.- Co-Reinforcement Learning Model for Intrinsically Explainable Multimodal Reasoning and Generation.- Application and Effect Analysis of Reinforcement Learning Algorithm in Automatic Translation Quality Evaluation.- Precision Enhancement in Air Traffic Control Radar at Erbil International Airport via Hybrid Compression.- Hybrid SVM-RF Model to Enhance Intrusion Detection in Electronic-vehicle Networks.- Bi-directional Wearable Low-Cost Translation System with AI-Based Sentence Construction.- Comparative Performance Evaluation For Fake News Detection Combining Linguistic Features With Multiple Encodings Using Metamodel Stacking Classifiers.- Enhancing Bank Employees' Mobility through Genetic Algorithm-based Route Planning.- Building and Comparing Energy Consumption Models Using Traditional Techniques and Deep Neural Networks.- Performance Comparison of Lightweight Cryptographic Algorithms for IoT Security.- A Web-Based Middleware Platform for GxP-Compliant Data Management in Industrial Automation.- FEMM Simulation Study of Electric Field Strength and Potential Distribution of a Pin-to-Pin Air Plasma Jet System.

Produktdetails
  • Erscheinungsdatum: 09.08.2026
  • Autor/Autorin: Nguyen Gia Nhu
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 67.2 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 572 Seiten
  • ISBN: 9783032276698
  • 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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