Search Results - (( java application optimisation algorithm ) OR ( based regulation machine 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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Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants
Published 2023“…The research elaborates on the design and implementation of machine learning models based on three algorithms: Decision Tree, Gradient Boosted Tree, and Support Vector Machine. …”
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Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models
Published 2023“…In this work, the optimal base pressure is determined using the PCA-BAS-ENN-based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for the smooth flow of aerodynamic vehicles. …”
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Implementation of PID controller on prasmatic control of universal stretch and bending machine (USBM) simplified model
Published 2008“…In this project, a controller will give a signal to regulator and the output (pneumatic valve) will move base on the signal that was given by the controller.…”
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Undergraduates Project Papers -
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…A maximum accuracy of 81% is obtained for Decision Tree algorithm during the prediction of crime. The findings demonstrate that employing Machine Learning techniques aids in the prediction of criminal events, which has aided in the enhancement of public security.…”
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Conference or Workshop Item -
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A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications
Published 2025“…To address this challenge, the paper proposed XGB5hmC, a machine learning algorithm based on a robust gradient boosting algorithm (XGBoost), with different residue based formulation methods to identify 5hmC samples. …”
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Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…An advanced electric drive controller for a high power starter-generator subsystem based on a series DC machine is presented. The machine is belt-coupled to a diesel engine in a series-parallel 2×2 HEV. …”
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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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Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
Published 2019“…Smart grid has evolved into a viable platform for participants of electricity market to effectively regulate their bidding strategies based on demand-side management (DSM) models ascribed to its immense technological advancements in recent years. …”
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Base pressure control through micro jets at supersonic Mach numbers using experimental and machine learning approach
Published 2026“…This study presents active control methods using microjets to regulate base pressure, employing experimental and machine learning approaches. …”
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Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…It encompasses different types, such as rule-based AI using if-then statements for decision-making, machine learning which employs algorithms to analyze and learn from data, and deep learning utilizing artificial neural networks to learn from extensive datasets. …”
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Understanding the sentiment on gig economy: good or bad?
Published 2022“…Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. …”
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Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…This research proposed a swarm intelligence training algorithm, Improved African Buffalo Optimization algorithm (IABO) based on the Metaheuristic method called the African Buffalo Optimization algorithm (ABO). …”
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Control algorithm for two-tank system using multiparametric programming
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Conference or Workshop Item -
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Application of slantlet transform based support vector machine for power quality detection and classification
Published 2015“…Finally, sensitivity of the proposed algorithm under noisy con-dition is investigated in this paper.…”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony
Published 2022“…Task scheduling cannot be done based on a single criterion but rather under a set of rules and regulations that we might refer to as a cloud user-provider agreement. …”
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Academic Exercise -
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Application Of Slantlet Transform Based Support Vector Machine For Power Quality Detection And Classification
Published 2015“…Finally, sensitivity of the proposed algorithm under noisy condition is investigated in this paper.…”
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Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme
Published 2021“…The PEC equipped with the VSWT combines a machine side converter (MSC) and a grid-side inverter (GSI). …”
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Forecasting road deaths in Malaysia using support vector machine
Published 2020“…This study proposes a new approach in forecasting the road deaths, by means of a machine learning algorithm known as Support Vector Machine. …”
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