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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…We utilized the enhanced Q-Learning algorithm to compare actions, including context-based actions, to effectively achieve higher code coverage. …”
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Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
Published 2007“…GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. …”
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Object Isolation In A Random Environment Using Manipulation Primitives Approach
Published 2019“…The algorithm was demonstrated using a KUKA Youbot with a camera fitted above the workspace. …”
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ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
Published 2019“…The algorithm used in this project will later be evaluated to see its performance. …”
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Final Year Project -
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A simplified PID-like ANFIS controller trained by genetic algorithm to control nonlinear systems
Published 2010“…In addition, the real-coded Genetic Algorithm (GA) has been utilized to train this ANFIS controller, instead of the hybrid learning methods that are widely used in the literature, and hence, the necessity for the teaching signal required by other techniques has been eliminated. …”
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The third algorithm, named as Pro-Active Intelligence algorithm has inspired autonomous action triggering for each event interoperation, using a control action statement that is generated by SOAP packets required for joint execution of tasks among heterogeneous subsystems. …”
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Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
Published 2025“…In consideration of the distinct behavior of machine learning (ML) algorithms, six well-defined ML used were carried out in this study for predicting sea level on a day-to-day basis. …”
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High performance through wall human activity recognition using WiFi
Published 2023“…Second, we propose a normalized variance sliding windows algorithm to segment the time of human action from the waveforms, which can differentiate human actions' start and end times. …”
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Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…The simulation was conducted using MATLAB/Simulink software package whilstthe experimental study utilized the existing experimental rig with a hardware-in-the-loop simulation (HILS) configuration with the proposed ILC algorithms incorporated as the new research contribution. …”
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A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST
Published 2010“…This is in order to determine the status of the system, and the necessity to implement corrective actions, such as load shedding, power purchases or using peaking units. …”
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Game theoretic approach for exhaustive tactical modelling of node misbehavior in adhoc networking based IOT paradigm/P-RIGS18-020-0020
Published 2019“…Therefore, this Game Theoretic Approach for Exhaustive Tactical Modelling of Node Misbehavior in Adhoc Networking based IoT Paradigm will reduce the utility of malicious nodes and increase the utility of regular nodes. …”
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Monograph -
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E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam
Published 2020“…The results from the previous stage will be used to generate visualizations by using the D3.js library. …”
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CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK
Published 2023“…The designated algorithm is tested with Multi-Protocol Label Switching (MPLS) protocol using Network Simulator 3 (NS-3) as a simulation platform. …”
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