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Science, Engineering Management and Information Technology

6th International Conference, SEMIT 2026, Ankara, Turkey, September 16-18, 2026, Proceedings, Part II
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Inhaltsangabe

.- Cybersecurity, Privacy, Trust, and Resilient Systems.
.- AI-Driven Cyber Defense Architectures for Mitigating Generative Adversarial Attacks.
.- Zero-Trust in the Quantum Computing Era: Architectures, Algorithms, and Adaptation.
.- A Secure Federated Learning Paradigm Based on Homomorphic Encryption and Distributed Trust.
.- Deepfake Detection through Multimodal Feature Fusion and Adaptive Security Frameworks.
.- Swarm Intelligence–Driven Adaptive Intrusion Detection System for UltraConnected 6G Networks.
.- Integrating Explainable AI into Cybersecurity Operations Centers for Intelligent Threat Detection and Response.
.- Security Challenges in Cloud-Native Microservice Architectures under MultiTenant Environments.
.- Cyber-Physical Security Management in Industry 4.0 Production Lines.
.- Computer Vision, Remote Sensing, UAVs, and Intelligent Detection.
.- A Robust and Real-Time Ship Detection Framework Based on an Enhanced YOLOv8 Architecture for Satellite Imagery.
.- Artificial Intelligence Supported Structural Monitoring: Detection of Dam Wall Cracks Using Deep Learning Models.
.- Inspection of Customs Vessels in Ports Using UAVs and AI-Based Object Detection Algorithms.
.- Intelligent Fire Detection with UAV-Based Deep Learning for Improved Emergency Response.
.- AAE-KRX: Adversarial Autoencoder-Based Kernel RX for Hyperspectral Anomaly Detection.
.- Designing an Intelligent System Based on Machine Learning for Separation and Valuation of Construction Waste.
.- Designing Robust UAV Object Detection Systems for Real-World Scenarios.
.- Transformer-Based Small Object Detection in UAV Aerial Imagery Using Edge Artificial Intelligence.
.- AI in Healthcare, Bioinformatics, and Clinical Decision Support.
.- A Hybrid Random Forest and XGBoost Model for Predicting Recanalization Outcome in Ischemic Stroke Patients.
.- Artificial Intelligence–Driven Decision Fatigue in Healthcare Management Systems.
.- Human–AI Collaborative Decision-Making in Smart Hospitals: A SocioTechnical Performance Model.
.- Deep Learning-Based Multi-Class HPV Genotype Classification from Genome Sequences.
.- Development of Intelligent Auxiliary Appliance Combined with TCM Massage for Knee Osteoarthritis Rehabilitation.
.- AI and Intelligent Control-Assisted Xuefu Zhuyu Decoction for the Prevention of Contrast-Induced Acute Kidney Injury.
.- Machine Learning-Based Patient Stratification Using Multi-Omics Data in EGFR-Mutant Lung Adenocarcinoma: A Systematic Review and Framework Proposal.
.- Independent Validation and Clinical Risk Stratification of a Pre-Trained k mer Based Machine Learning Model for Antimicrobial Resistance Prediction Using 18,916 Bacterial Isolates.
.- Digital Education, Human–Computer Interaction, and Cultural Heritage.
.- Micro-Credentials as a Tool for Designing Individual Learning Pathways Using Artificial Intelligence.
.- Design and Development of an Immersive Virtual Reality Learning Environment for STEM Education.
.- A Double Diamond-Driven UX Framework for an AI-Assisted E-Learning Platform: Design and Usability Evaluation in Bangladesh.
.- Preserving Intangible Cultural Knowledge through Interactive 3D Heritage Objects: A Case Study of Traditional Bangladeshi Tools and Practices.
.- Dual-Certification Programs for Chinese Vocational Education in Spanish
Speaking Countries: A Governance Framework.
.- Serious Games and Work Café for Adaptive E-Learning: A Pilot Study in Sustainable Mobility.

Produktdetails
  • Erscheinungsdatum: 21.09.2026
  • Autor/Autorin: Babek Erdebilli
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 71.1 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 668 Seiten
  • ISBN: 9783032397119
  • 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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