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UTeM navigation system: pedestrian and traffic sign detection using CNN algorithm
Published 2022“…Thus, this system aims to solve the problems, by developing mobile navigation with safety features by taking UTeM campus as our scope of the study. …”
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Article -
2
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Thesis -
3
Enhancing smart city mobility using Software Defined Networks
Published 2024“…SDN-based MM can advance sustainable urban development by centralizing control, adapting to changes, optimizing resource allocation, reducing energy consumption, and improving urban mobility. …”
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Proceeding Paper -
4
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Conference or Workshop Item -
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HandGestureSense: Hand gesture recognition-controlled smart home automation
Published 2024“…The proposal has important implications for people with limited mobility or disabilities, allowing them to easily navigate and manage their living spaces. …”
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Final Year Project / Dissertation / Thesis -
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HandGestureSense: Hand gesture recognition-controlled smart home automation
Published 2024“…The proposal has important implications for people with limited mobility or disabilities, allowing them to easily navigate and manage their living spaces. …”
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Final Year Project / Dissertation / Thesis -
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…In the methodology, this study discloses five useful stages. Firstly, mobile phone users' irregular walking behaviour is investigated using a questionnaire to determine their options on mobile usage in the street. …”
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Thesis -
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…In the methodology, this study discloses five useful stages. Firstly, mobile phone users' irregular walking behaviour is investigated using a questionnaire to determine their options on mobile usage in the street. …”
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Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli
Published 2023“…The main objective of this project is to develop a drowsiness detection and alert system using a Raspberry Pi. …”
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Book Section -
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Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli
Published 2023“…The main objective of this project is to develop a drowsiness detection and alert system using a Raspberry Pi. …”
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