Search Results - (( factor affecting implementation algorithm ) OR ( java application customization algorithm ))
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A-star (A*) algorithm implementation for robotics path planning navigation
Published 2018“…This thesis is about the implementation of Astar (A*) algorithm as path planning algorithm used in robotics navigation. …”
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Undergraduates Project Papers -
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Factors affecting student’s academic performance
Published 2021“…Furthermore, various machine learning algorithms are implemented for the prediction process for a student’sperformance range. …”
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Article -
3
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…In computational grid, job scheduling is one of the main factors affecting grid computing performance. Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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Monograph -
4
Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes
Published 2013“…This paper describes the implementation of an algorithm that can be used to predict solar energy potential of irregular landscapes. …”
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Article -
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Monograph -
6
Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
Published 2017“…Genetic algorithm is chosen for the development of the prototype to prove that genetic algorithm is the best technique to implement for optimization. …”
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Thesis -
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Thesis -
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Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar
Published 2021“…For the first objective is to identify the factors affecting the price of heritage properties. …”
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Thesis -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Thesis -
12
Implementation and analysis of an updating data strategy on iot-waspmote gases testbed with 2.4 ghz xbee for air quality application
“…The experimental results indicate that the EDCD algorithm performance is affected by the type of sensor as well as the sensing area/location. …”
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Conference or Workshop Item -
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Architectural review of load balancing single system image
Published 2008“…Various implementations from the past to present will be presented while focusing on the factors that affect the performance of such system. …”
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Article -
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Poverty risk prediction based on socioeconomic factors using machine learning approach
Published 2025“…Information gain was used in the feature selection and four classification algorithms namely, Logistic Regression, Random Forest, Decision Tree, and Gradient Boosted, were implemented and tested with the incorporation of 10-fold cross-validation and splitting 70:30 in WEKA. …”
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Student Project -
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Benchmarking Framework for Performance in Load Balancing Single System Image
Published 2009“…The benchmark framework allows the determination of the performance degradation factors associated with system implementation and configuration. …”
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Thesis -
17
Machine learning approach for automated optical inspection of electronic components
Published 2019“…The performance of the supervised machine learning is determined by the prediction accuracy. The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
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Final Year Project / Dissertation / Thesis -
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…In conclusion,DRPF is implementable as prototype and has been highly accepted by Indonesian practitioners as aid for the diagnostics of diabetes.…”
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Thesis -
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Automated traffic counting data collection and analysis
Published 2021“…The factors affecting the performance of the algorithm is discussed. …”
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Final Year Project / Dissertation / Thesis -
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