Search Results - (( solution solution learning algorithm ) OR ( program implementation using algorithm ))
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Implementation of Health Monitoring System for Patients using Machine Learning Algorithms
Published 2024“…We employed the Decision Tree Algorithm to train and assess a model that produced a perfection of 66.66%.…”
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A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The rollout algorithm is part of the Approximate Dynamic Programming (ADP) lookahead solution approach for a Markov Decision Processes (MDP) framed Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity (MDDVRPSRC). …”
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General timetabling system for school
Published 2005“…The General Timetabling System for School is developed based on the local school timetable structure. The system is implemented using a heuristic generic algorithm that best fit to the timetabling solution. …”
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Final Year Project Report / IMRAD -
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Parking finder mobile application
Published 2025“…In this system, computer vision and deep learning models such as YOLOv8 will be utilized for parking spaces and vehicle detection while the DeepSORT algorithm is implemented to track vehicle movement in real-time. …”
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Final Year Project / Dissertation / Thesis -
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Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri.
Published 2012“…They are also robust and effective algorithms that are computationally simple and easy to implement.…”
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…The Rule Base algorithm is used to classify students based on their learning style characteristics. …”
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A framework for a multi-layered security of an automated programming code assessment tool
Published 2024journal::journal article -
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Problem restructuring in interger programming for reduct searching
Published 2003“…The thesis emphasizes mainly on the improvement of the original SIP/DRIP algorithm in term of performance. By using problem restructuring, the searching time and memory are minimized. …”
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Kernel methods and support vector machines for handwriting recognition
Published 2023“…Finding the solution hyperplane involves using quadratic programming which is computationally intensive. …”
Conference paper -
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Innovative smart phone learning system for graphical systems within covid-19 pandemic
Published 2023“…Accordingly, this study�s main objective is to develop a model system that can function as smartphone computer graphics. This paper used the Technology Acceptance Model (TAM) as an m-learning model, and Bresenham�s line algorithm is a calculation system implemented by applications. …”
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FPGA Implementation of Emergency Door Car Entry System
Published 2008“…Emergency door car entry system can be implemented using Field Programmable Gate Array (FPGA) board. …”
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Learning Object -
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Baldwinian learning uses learning algorithm to change the fitness landscape, but the solution that is found is not encoded back into genetic string. …”
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Computational Thinking : Experiences of Rural Pupils in Sarawak Primary School
Published 2021“…Computational thinking (CT) is one of the cognitive processes involved in STEM learning which human use in problem-solving to provide computational solutions that humans and machines can support. …”
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Thesis -
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…Moreover, experiments demonstrate that final clustering solution generated by the proposed incremental genetic-based clustering ensemble algorithm using the pattern ensemble learning method possess comparative or better clustering accuracy than clustering solutions generated by the incremental genetic-based clustering ensemble algorithms using other recombination operators. …”
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…An intelligence strategy called quasi-oppositional based learning is incorporated into the proposed algorithm to enhance its convergence property, exploration capability, and solution optimality. …”
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