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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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Design and Development of Artificial Intelligence (Al)-Based Desicion Support System For Manufacturing Applications
Published 2016“…Tube B images are needed to evaluate the performance of the developed defect detection algorithm under different radiography conditions. …”
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Monograph -
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Indoor occupancy detection using machine learning and environmental sensors / Akindele Segun Afolabi ... [et al.]
Published 2025“…As a result of these benefits, a plethora of machine learning-based solutions for occupancy detection has been developed in the literature. However, many of these solutions have poor prediction accuracies. …”
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Improving robotic grasping system using deep learning approach
Published 2020“…This research aimed to develop a Deep Learning grasp detection model and a slip detection algorithm and integrating them into one innovative robotic grasping system. …”
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Thesis -
6
Collaboration algorithms between intermediaries for supporting flexible supply chain management
Published 2013“…The collaboration algorithms are design to go through five main phases in order to continuously monitor and detect any deviations from the processes currently running at the vacinity of the members. …”
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7
Land Use Changes in Jeli, Kelantan
Published 2013“…This study has shown a decrease in forest area, increase in agricultural area as well as urban development. A drastic drop in the virgin forest has also been detected as exploitation of this natural resources takes place upon development and improvement of infrastructure and utilities in Jeli. …”
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Undergraduate Final Project Report -
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Development of a lower-extremities exoskeleton for postural-sway in sit-to-stand movement
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Instrumentation Monitoring For Heavy Metal Detection In Batik Industry
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Monograph -
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An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics
Published 2016“…A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. …”
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Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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Computer-assisted pterygium screening system: a review
Published 2022“…During the early stage of automated pterygium screening system development, conventional machine learning techniques such as support vector machines and artificial neural networks are the de facto algorithms to detect the presence of pterygium tissues. …”
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Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis
Published 2016“…We compared the efficacy of recombinant antigens rK28, rK39 and rKRP42 for the diagnosis of VL when either serum or urine were used to develop antibody-detection ELISA. Results: As expected, each of the antigens readily detected antibodies in the serum of VL patients. rK28 ELISA showed the highest sensitivity (98.9 %), followed by rK39 and rKRP42 ELISA (97.7 and 94.4 %, respectively); overall specificity was > 96 %. …”
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Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging
Published 2016“…The aforementioned pulse data has been simulated in a locally developed image reconstruction algorithm (EDAS) to detect hypothetical objects and the resultant images show significant quality enhancement in comparison to a Gaussian pulse (or its derivative) with an equivalent duration. …”
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Automatic mapping of concrete strength in structural element
Published 2006“…An echo is introduced to the sample by dropping a small steel ball from a certain height from the concrete surface. …”
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Efficient node cooperation stimulation mechanism in wireless multihop networks
Published 2017“…Performance evaluations demonstrate that the proposed mechanisms are able to reduce the number of dropped packets, increase nodes’ forwarding ratio and reduce message and communication overhead.…”
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The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan
Published 2023“…Therefore, a novel MC sensor is an alternative tool to study muscle function. This study aims to develop a prediction model to predict muscle fatigue levels (100%-75%, 75%-50%, 50%-25%, 25%-0%) from muscle contraction and torque using Levenberg Marquardt algorithm. …”
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Thesis