<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Salah Al-Nawah — Research</title><description>Papers and whitepapers by Salah Al-Nawah, each with an abstract and a PDF.</description><link>https://salahmyn.me/</link><language>en-us</language><item><title>Cleared the Bar, or Lowered It? An Assurance Lattice for Verifying AI-Generated Software Against Intent</title><link>https://salahmyn.me/research/cleared-the-bar/</link><guid isPermaLink="true">https://salahmyn.me/research/cleared-the-bar/</guid><description>Coding agents can turn every check green by quietly weakening the requirement. This paper sets out a theory of assurance that tells a bar that was cleared from a bar that was lowered.</description><pubDate>Sat, 17 Oct 2026 00:00:00 GMT</pubDate><category>Preprint</category><category>AI-generated code</category><category>Software verification</category><category>Requirements traceability</category><category>LLM agents</category><category>Lattice</category><author>hi@salahmyn.me (Salah Al-Nawah)</author><enclosure url="https://salahmyn.me/papers/cleared-the-bar-assurance-lattice.pdf" length="269571" type="application/pdf"/></item><item><title>Development of Real-Time Vehicle&apos;s Plate Number Recognition System Using Deep Learning Approach for Surveillance System in Malaysia</title><link>https://salahmyn.me/research/real-time-plate-recognition-malaysia/</link><guid isPermaLink="true">https://salahmyn.me/research/real-time-plate-recognition-malaysia/</guid><description>A mobile system that detects and reads Malaysian license plates in real time with deep learning, built for vehicle surveillance in moving, poorly lit, complex scenes.</description><pubDate>Tue, 01 Nov 2022 00:00:00 GMT</pubDate><category>Paper</category><category>License plate recognition</category><category>Deep learning</category><category>Intelligent transportation</category><category>Mobile</category><author>hi@salahmyn.me (Husna Osman, Munaisyah Abdullah, Jawahir Che Mustapha, Salah Mohammed Yahya Al-Nawah, Jasrina Jaffar)</author><enclosure url="https://salahmyn.me/papers/real-time-plate-recognition-deep-learning-malaysia.pdf" length="502029" type="application/pdf"/></item><item><title>License Plate Recognition Techniques: Comparative Study</title><link>https://salahmyn.me/research/license-plate-recognition-techniques/</link><guid isPermaLink="true">https://salahmyn.me/research/license-plate-recognition-techniques/</guid><description>A survey of how license plate recognition systems work, comparing traditional computer vision with deep learning on accuracy, performance, strengths and weaknesses.</description><pubDate>Wed, 01 Dec 2021 00:00:00 GMT</pubDate><category>Paper</category><category>License plate recognition</category><category>Computer vision</category><category>Deep learning</category><author>hi@salahmyn.me (Munaisyah Abdullah, Salah Mohammed Al-Nawah, Husna Osman, Jasrina Jaffar)</author><enclosure url="https://salahmyn.me/papers/license-plate-recognition-techniques-comparative-study.pdf" length="417841" type="application/pdf"/></item></channel></rss>