Search Results - (( program next selection algorithm ) OR ( java application optimisation algorithm ))
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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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Article -
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Highest response ratio next (HRRN) vs first come first served (FCFS) scheduling algorithm in grid environment
Published 2011“…This paper simulates in C programming First Come First Served (FCFS) and Highest Response Ratio Next (HRRN) Grid scheduling algorithms. …”
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Conference or Workshop Item -
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Whenever an area with the similar characteristic is verified in the next frame, the area will be identified and bounded with a rectangle through the object recognition algorithm of the research. …”
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Final Year Project / Dissertation / Thesis -
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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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Thesis -
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Electroencephalogram signal interpretation system for mobile robot
Published 2013“…Next, a signal interpretation system is designed and developed to translate the signal and send the pre-programmed commands to the robot through the operating computer. …”
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Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly
Published 2023“…The binary integer programming (BIP) issue is a rare form of integer programming problem in which the value of variable xi is only 0 or 1. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…These problems have shown different challenging characteristics such as non-convexity, non-linearity, and/or multi-modality which became difficult for traditional non-linear programming to deal with. The performance of DE algorithm depends heavily on the selected mutation strategy and its associated control parameters. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…The proposed EC methods are Genetic Algorithm (GA), Differential Evolution (DE), Evolutionary Programming (EP), and Pareto-based Differential Evolution (PDE). …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…This selection implemented according to the percentage of progressing, comparison and replacing in GAs programming. …”
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Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed
Published 2023“…By utilizing Fuzzy DEA (FDEA) model with algorithm, this study observes the PRUMs efficiency status during the study period and the expected average efficiency for the next 2021/2022 academic year. …”
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Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…Furthermore, reliefF-Gradient boosting and random forest algorithms achieved promising overall accuracy of 97.4% and 96.9%, respectively after implementing filtering and feature selection techniques. …”
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Article -
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A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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Speed-up robust features based 3D object recognition for grasping by three fingered robot hand / Nurul Hanani Remeli
Published 2018“…The reference position of the robot hand however was programmed based on predetermined motor positions of the joints for grasping two different shapes of object. …”
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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
Published 2007“…The selected ANFIS model gives lower values in most of the performance indices during training. …”
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