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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

M. Habaebi

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5 papers indexed here

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Conference Sep 2026

Statistical and Hardware Validation of Arbiter PUF for Secure and Energy Efficient IoT Devices

The rapid growth of the Internet of Things (IoT) has led to billions of interconnected devices across critical domains such as healthcare, transportation, and smart systems, introducing major challenges in security, privacy, interoperability, and resource management. These issues are amplified by large-scale deployment...

Abdul Manan Sheikh, Md. Rafiqul Islam, M. Habaebi et al. · 0 citations
Conference Sep 2026

Automating Computer Network Management with N8N

Manual network operations are increasingly inadequate for managing the scale and complexity of modern infrastructure, leading to severe alert fatigue and high Mean Time to Resolution (MTTR). Existing static automation solutions remain rigid and lack the reasoning capabilities necessary to handle unknown or subtle fault...

Alif Najwan bin Hishamuddin, M. Habaebi, M. R. Islam · 0 citations
Conference Sep 2026

Artificial Intelligence and Medical Image Processing for Early Detection of Gum Recession

Periodontal disease is one of the most common oral diseases worldwide and can lead to irreversible tooth-supporting tissue destruction if not diagnosed at an early stage. Accurate grading of periodontal disease from panoramic dental radiographs (OPGs) is essential for appropriate treatment planning; however, manual ass...

Mohammed Abdulla Salim Al Husaini, Yousuf Nasser Said Al Husaini, Mohammad Abrar et al. · 0 citations
Conference Sep 2026

Automated Fracture Identification in X-Rays Using Deep Neural Networks

Accurate and timely fracture identification from X-ray images is essential for supporting clinical diagnosis and reducing missed fractures in emergency and orthopedic practice. Recent advances in deep learning have shown promising results for automated medical image analysis; however, identifying the most suitable arch...

Mohammed Abdulla Salim Al Husaini, Hilal Al-Musharfi, Yousuf Nasser Said Al Husaini et al. · 0 citations
Open access Sep 2026

AI-Enhanced Anomaly Detection in Water Treatment Plants

A robust, AI-enhanced anomaly detection framework designed to identify multi-stage malicious activities in water treatment systems using real-world industrial datasets, and confirms that combining statistical machine learning, state-space sensor fusion, and invariant physical process logic provides a resilient defense...

Ahmad Ihsan Akmal Izram, M. Habaebi, Mohammed A. Alhussaini · 0 citations

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