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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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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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Information retrieval with comparing two matching algorithms: A thesis supervisor system case study / Siti Nurhanis Mohd Shekri
Published 2014“…In this research will focus on searching the lecturer based on the expertise area of the lecturer. This system will implement the two testing algorithm with information retrieval technique to search an appropriate supervisors for the students. …”
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4
Development of airbag suit system for motorcyclist
Published 2014“…The calibration involved a sizable collection of samples, analysis and training to set the threshold in the algorithm which decides the emergency events. The implementation of sensory system reduces the response time which is critical during the impact.…”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…Consequently, during peak hours, finding a vacant parking bay is more of a difficult task. …”
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6
Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm
Published 2016“…The improved honeybee inspired algorithm showed that the mobile robot could increase working time efficiency from 37% to 95%. …”
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A smart guidance indoor parking system based on Dijkstra's algorithm and ant colony algorithm
Published 2020“…Given the heavy traffic commonly seen during the weekends, most drivers might spend at least 20 to 30 minutes just to find an empty parking bay, which leads to wasteful fuel consumption. …”
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Dynamical fuzzy autocatalytic set of combustion process in circulating fluidized bed boiler using transition matrix / Hazwani Hashim
Published 2014“…The improvised GDAis able to reduce computer running time as compared to previous algorithm and able to deals with a sparse graph. Implementation of the algorithm to graphical FACS model of CFB shows that it is able to better explained the combustion process in terms of depletion species over time t and important species which denotes as by-product of the combustion is shown to be in accordance to the real process. …”
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9
The development of instrument for real-time monitoring of heavy metal discharge for batik industry
Published 2019“…In order to ensure the results are robust, other significant parameters such as temperature and acidity (represented in pH) were considered during mathematical formulation development. The control algorithm using PID loop was implemented in the system devices to generate the sufficient voltage input energizing the conductivity sensor. …”
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10
Selective opposition based constrained barnacle mating optimization: Theory and applications
Published 2024“…Exploration and exploitation are two crucial optimization stages as we implement the constrained BMO. They are informed by models of navigational sperm casting properties, food availability, food attractiveness, wind direction, and intertidal zone wave movement experienced by barnacles during mating. …”
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Incorporation of High Recyclability Material Selection in Computer Aided Design
Published 2014“…In this paper, the use of fuzzy inference system and genetic algorithm is proposed to optimize the multi-objective problem in the selection of recyclable materials. …”
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Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC)...
Published 2019“…This new framework will be able to provide range of possible recall rate from minimum to maximum, to identify which classifier algorithm performs the best for given dataset. The selected model can be implemented into actual manufacturing flow to screen predicted bad die for maximum cost scrapping avoidance and capacity savings.…”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…To improve the rate of fault detection during several TCP approaches are proposed for regression testing. …”
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