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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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2
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
3
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…This process requires human labour to visually inspect and sort fruits, leading to variability and inefficiencies in the sorting process. …”
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4
A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
Published 2018“…Five policy variables namely mechanization adoption rate, average replanting, biodiesel mandates in transportation, industrial and 4 other relevant sectors were examined to determine optimal policy values. …”
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5
Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…The study used a retail store dataset consisting of 522,064 rows and 7 variables. Data pre-processing was performed to clean and encode the data to be used in the model. …”
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6
A new integrated approach for evaluating sustainable development in the electric vehicle sector
Published 2025“…Third, this study uses the classification & regression tree (CART), random forest, and eXtreme gradient boosting (XGBoost) algorithms to assist managers in identifying the key predictive variables for further classification and prediction. …”
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7
Maximizing crude palm oil production in Malaysia: a search for an optimal policy using system dynamics and genetic algorithm approach
Published 2018“…The proposed model has produced five optimal values for five policy variables namely average replanting rate, mechanization adoption rate, and biodiesel mandate in transportation, industrial and other sectors respectively. …”
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8
Statistical monitoring of supplier performance in a quality management system environment for the Iranian automotive industry
Published 2010“…Thus, it is important to evaluate and monitor suppliers in the automotive sector. The review of literature reveals the lack of a multi-variable monitoring system for supplier performance. …”
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9
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment
Published 2016“…Computer numerical controlled (CNC) growth has revolutionised the manufacturing sectors by changing the way people work. In milling process, it has contributed to the higher productivity and better quality of the products. …”
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10
Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain
Published 2022“…The algorithms used to tackle optimization issues in several scientific and technological sectors do not require major modifications to be successful. …”
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Monograph -
11
Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II
Published 2016“…Computer numerical controlled (CNC) growth has revolutionised the manufacturing sectors by changing the way people work. In milling process, it has contributed to the higher productivity and better quality of the products. …”
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12
Intelligent control of grain drying process using fuzzy logic controller.
Published 2010“…Two inputs and one output fuzzy logic controller has been designed to drive the grain flow rate which is used as the manipulated variable. A new algorithm of fuzzy logic controller for a grain drying process has been introduced. …”
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13
Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
Published 2023“…Variance inflation factor analysis and hypothesis testing analysisevaluated for determine variables affecting business analytics adoption for furtherresearch study about suggestions and direction of industrial sector.…”
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Final Year Project / Dissertation / Thesis -
14
Intelligent control of grain drying process using fuzzy logic controller
Published 2010“…Two inputs and one output fuzzy logic controller has been designed to drive the grain flow rate which is used as the manipulated variable. A new algorithm of fuzzy logic controller for a grain drying process has been introduced. …”
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15
Optimization Algorithms: A Comparison Study for Scheduling Problem at UIN Raden Fatah's Sharia and Law Faculty
Published 2024“…The rapid advancement of information and communication technology significantly impacts various sectors, including education, by enhancing administrative and academic processes through sophisticated algorithms and systems. …”
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16
Decision tree and rule-based classification for predicting online purchase behavior in Malaysia / Maslina Abdul Aziz, Nurul Ain Mustakim and Shuzlina Abdul Rahman
Published 2024“…The result indicated that the highest accuracy of 89.34% was achieved by the Random Tree algorithm, while the rule-based algorithm PART reached an accuracy of 87.56%. …”
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17
Predicting motorcycle customization preferences using machine learning
Published 2025“…Random forest was chosen in this research as a primary algorithm because it is superior and its efficiency in processing heterogeneous data. …”
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Green retrofitting of building using BIM-based sustainability optimization
Published 2024“…With the help of BIM tools, which possess advanced algorithms for an effective optimization process, a list of ‘green’ solutions i.e., optimal designs has been generated, out of which the optimal and cost-effective design saved 46% of energy in total. …”
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19
Green retrofitting of building using BIM-based sustainability optimization
Published 2024“…With the help of BIM tools, which possess advanced algorithms for an effective optimization process, a list of ‘green’ solutions i.e., optimal designs has been generated, out of which the optimal and cost-effective design saved 46% of energy in total. …”
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20
Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
Published 2022“…The industrial sector continues to face difficulties in preventing dust explosions. …”
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