Search Results - (( players selection based algorithm ) OR ( java segmentation using algorithm ))
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…Then, the system will select the appropriate players to be placed in the specified formation. …”
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Thesis -
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Book -
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
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Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm
Published 2023“…The primary goal is to use the Random Forest algorithm, an effective machine learning technique, to predict instances of cheating based on the behavioural patterns of participants. …”
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Final Year Project Report / IMRAD -
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An efficient detection model of selective forwarding attacks in wireless mesh networks
Published 2012“…In our approach, we also propose a multi-hop acknowledgement based algorithm to analyze and detect the malicious behavior to defend against selective forwarding attacks in WMNs. …”
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Memory-based Immune Network for Multi-Robot Cooperation
Published 2009“…The paper describes a memory-based immune network that enhance a robot's action-selection process and can obtain an overall a quick group response. …”
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Shepherding: An Immune-Inspired Robotics Approach
Published 2010“…The algorithm is applied on the Player/Stage simulation platform and evaluated using the sheepdog scenario. …”
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Multi-Robot Cooperation using Immune Network with Memory
Published 2009“…The paper describes a memory-based immune network that enhance a robot's action-selection process and can obtain an overall a quick group response. …”
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Machine learning application in predicting anterior cruciate ligament injury among basketball players
Published 2025“…The optimal model was selected based on the mean area under the receiver operating characteristic curve (AUC-ROC) across 10 cross-validation runs and was used with Shapley Additive exPlanations to analyze the risk factors. …”
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Immune Inspired Cooperative Mechanism with Refined Low-level Behaviors for Multi-Robot Shepherding
Published 2012“…The underlying immune inspired cooperative mechanism of the algorithm is simulated and evaluated. The paper also describes a refinement of the memory-based immune network that enhances a robot’s action-selection process. …”
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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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A Refined Immune Systems Inspired Model for Multi-Robot Shepherding
Published 2010“…The paper describes a refinement of the memory-based immune network that enhances a robot's action-selection process. …”
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Conference or Workshop Item -
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A Refined Immune Systems Inspired Model For Multi-robot Shepherding
Published 2010“…The paper describes a refinement of the memory-based immune network that enhances a robot's action-selection process. …”
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Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao
Published 2024“…This model was employed to build a MATLAB-based Sape sound quality classifier. Utilizing the Shapley Additive Explanations interpretation method, the analysis emphasized the importance of selected features in predicting wood acoustic quality, highlighting "Spectral Roll-off 85%" as the most crucial predictor of sound quality. …”
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Comparative study of 3D reconstruction methods from 2D sequential images in sports
Published 2020“…Six recent methods were selected based on they focused on recovery fully automated system for estimating 3D human pose for 2D joint location. …”
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