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Mapping Grayscale Images to Colour Space Using Deep Learning
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Legal aspects of functional security standardisation of the Internet of Things
Published 2023-09-01“…The single phenomenon of IoT security has been identified as a complex concept that includes functional security and information security with their interconnection, contradictions, challenges and risks. …”
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Integration of data science with the intelligent IoT (IIoT): Current challenges and future perspectives
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Botnet detection in internet of things using stacked ensemble learning model
Published 2025-07-01Get full text
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security
Published 2025-01-01Get full text
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Biometric cryptosystem to secure smart object communications in the internet of things
Published 2022-03-01“…Like any electronic application, the security aspect is one of the most difficult challenges in the creation and design of such networks. …”
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231
Considerations of Cloud Computing Contracts at the Conclusion Stage
Published 2025-03-01“…As a result, cloud computing is a model for providing services in information technology, which allows storing and processing information in It provides internet platform or private networks. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose
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Efficient Malware Classification using Transfer Learning and Stacked Ensemble Techniques
Published 2025-08-01Get full text
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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks
Published 2025-01-01“…As cyber threats grow in complexity, ensuring robust network security has become increasingly critical. …”
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A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications
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Securing the CAN bus using deep learning for intrusion detection in vehicles
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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images
Published 2025-02-01“…The cornerstone of our system is a Quantum Convolutional Hybrid Neural Network (QCHNN) that harnesses quantum entanglement properties to enhance feature detection and classification robustness. …”
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