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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…Therefore, a fully artificial intelligent (AI)-integrated sun-tracking algorithm is proposed and can be used in any type of sun-tracking systems such as concentrated photovoltaic (CPV), flat photovoltaic (PV) or heliostat systems. …”
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Final Year Project / Dissertation / Thesis -
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Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak
Published 2025“…Furthermore, AI algorithms can reconcile transactions and identify discrepancies. …”
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Real-time personal protective equipment compliance detection using you only look once
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Conference or Workshop Item -
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A bibliometric analysis: AI-driven data placement optimization in cloud replication environments
Published 2024“…Data placement strategy using artificial intelligence (AI) in cloud replication environments has garnered significant attention in recent years. …”
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A Survey on Information-Centric Networking with Cloud Internet of Things and Artificial Intelligence
Published 2022“…We initially rate the configuration of ICN with cloud or edge IoT and AI (ICN-CIoT-AI) in this study so that readers may learn about the latest trends and merging of ICN-CIoT-AI. …”
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Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases
Published 2022“…Latency in real-time processing is influenced by many factors such as artificial intelligence (AI) computing algorithm, device processing capabilities, the frameworks, and also the distance from the cloud infrastructure. …”
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Proceeding -
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A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells
Published 2025“…This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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Implementing server-side federated learning in an edge-cloud framework for precision aquaculture
Published 2025“…Precision aquaculture involves the use of smart technologies such as sensors, cloud computing, and artificial intelligence to monitor and manage fish farming environments. …”
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Final Year Project / Dissertation / Thesis -
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A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
Published 2020“…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
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Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
Published 2019“…The composition between these histograms improves the image contrast significantly. Next, the swarm-intelligence based mean equalization is proposed to improve the naturalness of the output image. …”
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Vision Based Multi Sensor Feedback System For Robot System With Intelligent
Published 2009“…This research studies the machine vision system and how it may be integrated to assist a robot system with artificial intelligent (Al). This research focuses on building a vision based feedback system for robotics application that consists of image processor and two vision-based sensor devices. …”
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Characteristics of machining data and machine learning models - A case study
Published 2023“…Advancement of technologies in computing such as internet of things, cloud computing, and artificial intelligence drive manufacturing industries to adopt and implement automation in production. …”
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Conference or Workshop Item -
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An attack proof intelligent digital watermarking based on safe region of fast fourier transform
Published 2010“…We propose a method, an attack proof intelligent system, in which Artificial Neural network is use to locate the Safe Region in the host image and the watermark is embedded based on the located Safe Region in Fast Fourier Transform domain. …”
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Proceeding Paper -
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…Levenberg-Marquardt algorithm (trainlm) gave the best performance fitness out of different types of backpropagation algorithm used with least Mean Square Error (MSE) of 0.0814 corresponding to R-value of 0.8094. …”
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