Search Results - (( developing developing function algorithm ) OR ( policy implementation learning algorithm ))
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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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2
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This work employed the use of machine learning approach. Four conventional classification algorithms: naïve bayes (NB), support vector machines (SVM), nearest neighbor (k-NN), and decision trees (J48) classifiers are implemented in identifying and categorizing tweet data of three political figures in Malaysia: Dato Seri Anwar, Dato Hadi Awang, and Lim Guang Eng, as either positive, negative, or neutral perceptions. …”
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3
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article -
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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6
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 proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
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7
Poverty risk prediction based on socioeconomic factors using machine learning approach
Published 2025“…Although the research is limited with respect to its sample size and geographical scope, it has provided important findings that can be used when implementing data-driven methods in social policy formulation and poverty mitigation strategies.…”
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Student Project -
8
A block cipher based on genetic algorithm
Published 2016“…This complexity can be done by designing an algorithm that consists of substitution function and permutation function which provides confusion and diffusion properties. …”
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9
Computing the autopilot control algorithm using predictive functional control for unstable model
Published 2009“…This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. …”
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Conference or Workshop Item -
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Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin.
Published 2004“…The FVSI was used as the objective function for the developed optimisation technique. …”
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11
Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…In addition, two novel optimization methods are developed and presented which are named the mine blast algorithm (MBA) and the water cycle algorithm (WCA). …”
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12
Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
Published 2020“…The functionality testing is conducted using Blackbox testing technique to test the functionality of the project.…”
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13
Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
Published 2017“…The performances of all modified ABC variants and formulated memetic ABC algorithms have been evaluated on 27 benchmark functions. …”
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14
Deep Reinforcement Learning For Control
Published 2021“…As a result, the simulation environment makes it possible to collect massive training datasets. Improving learning driving policies can be adopted fast in the actual world. …”
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Monograph -
15
Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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16
Chebyshev approximation of discrete polynomials and splines
Published 2004“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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17
Ethical considerations for equitable outcome-based education in the Metaverse: a qualitative study
Published 2025“…Semi-structured interviews were conducted with 11 XR experts across education, design, and policy domains. Thematic analysis revealed three primary ethical concerns: digital access inequities, bias in assessment algorithms, and privacy and data governance risk. …”
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18
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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19
Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai
Published 2021“…In this project an automated exam hall allocation prototype was developed using the genetic algorithm since this algorithm is commonly used to produce high-quality optimization solutions. …”
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20
Development of obstacle avoidance technique in web-based geographic information system for traffic management using open source software
Published 2014“…By implementing this function, it enhances the Dijkstra algorithm ability in network analysis. …”
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