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1
Object-Oriented Programming semantics representation utilizing agents
Published 2011“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Article -
2
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Monograph -
3
Artificial Neural Network in Predicting Risk Exposure in Malaysian Shipyard Industry
Published 2024“…Several network architectures were developed and the best model was selected for the risk exposure prediction of workers in the shipyard industry. …”
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4
Development Of Construction Noise Prediction Method Using Deep Learning Model
Published 2021“…A simple prediction chart method was developed on top of a stochastic algorithm called Monte Carlo simulation by complying with the standard BS 5228 for the noise prediction in the environmental impact assessment during the planning stage of a construction project. …”
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Final Year Project / Dissertation / Thesis -
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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Monograph -
6
Construction Noise Prediction Using Stochastic Deep Learning
Published 2022“…Therefore, this research aims to develop a reliable noise prediction model on the basis of stochastic modelling and deep learning technique. …”
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Final Year Project / Dissertation / Thesis -
7
Automatic Grading System Of Incoming Raw Unclean Edible Bird Nest Using Deep Learning Model
Published 2021“…Therefore, a deep learning model with the self-learning ability on the feature extraction process and low human intervention was developed to solve the drawbacks of the human visual system and conventional algorithms. …”
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Monograph -
8
Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method
Published 2018“…Therefore, this research develops a new CPO price forecasting method using weighted subsethood-based algorithm in order to generate fuzzy rules of forecasting. …”
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9
Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method
Published 2018“…Therefore, this research develops a new CPO price forecasting method using weighted subsethood-based algorithm in order to generate fuzzy rules of forecasting. …”
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10
Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin
Published 2018“…With a view to improvement, it is proposed to develop a unique algorithm for vehicle classification and counting using Gaussian Mixture Model (GMM) and blob analysis method. …”
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Student Project -
11
Preliminary study on fault detection using artificial neural network for water-cooled reactors
Published 2020“…This work was carried out to discover the use of an artificial neural network (ANN) to model and develop a fault detection programme in the RTP cooling system. …”
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Real-time personal protective equipment compliance detection using you only look once
Published 2024“…The objective of detecting safety equipment is to identify and classify the equipment worn by workers to ensure compliance with safety standards. …”
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Conference or Workshop Item -
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Determination of blood cholinesterase, neurobehavioral performance and genetic damage due to organophosphate exposure among male cocoa farmers in Pahang and Perak, Malaysia
Published 2022“…There are approximately 12,839 workers which is inclusive of cocoa farmers working with cocoa centre and independent smallholder cocoa farmers in Malaysia who are working in the cocoa plantations sector with the breakdown of 4,881 workers in Sabah, 5,613 workers in Sarawak and 2,345 (18.3%) workers in the Peninsular Malaysia. …”
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Thesis -
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Estimation of microclimate parameters on infestation rate of yellow stem borer (Scirpophaga incertulas) on MR297 rice variety
Published 2023“…The present study's finding recommends that rice farmers and entomologists develop a pest management program for yellow stem borer and stimulate research workers for sustainable bio-resource management. …”
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Thesis
