Search Results - (( developing function using algorithm ) OR ( policy implementation learning algorithm ))

Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

“…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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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…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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RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights by Seyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, Zahra Sobhaninia, Afshin Shoeibi, Fahime Khozeimeh, Zahra Alizadeh Sani, Ru-San Tan, Abbas Khosravi, Saeid Nahavandi, Nahrizul Adib Kadri, N. Arunkumar, U.Rajendra Acharya, Muhammad Mokhzaini Azizan

A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm by Anuar, Wadi Khalid, Lee, Lai Soon, Seow, Hsin Vonn, Pickl, Stefan

“…The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
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Poverty risk prediction based on socioeconomic factors using machine learning approach by Mohd Zawari, Nur Farhana Adibah

“…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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Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

“…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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Ethical considerations for equitable outcome-based education in the Metaverse: a qualitative study by Mohamed Sofiadin, Aidrina

“…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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A block cipher based on genetic algorithm by Zakaria, Nur Hafiza

“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic by Jiao, BianBian, Leelavathi, R., Lohgheswary, N., Nopiah, Z. M.

“…It will be of great significance for the introduction and implementation of national policies.…”
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Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

“…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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Ethical considerations for equitable outcome-based education in the metaverse: a qualitative study by Mohamed Sofiadin, Aidrina

“…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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Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman

“…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
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Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

“…I used different types of optimization algorithms to improve the performance of the neural networks. …”
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah by Ali, Sadollah

“…Metaheuristic algorithms have been extensively used in numerous domains especially in engineering. …”
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Chebyshev approximation of discrete polynomials and splines by Che Seman, Fauziahanim

“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Chebyshev approximation of discrete polynomials and splines by Che Seman, Fauziahanim

“…These algorithms use either cubic splines or Lagrange polynomials to construct the approximation function. …”
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Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement by Abdul Rahman, Nor Farahaida

“…Additionally, the proposed HFP+CI voltage control algorithm has resulted fastest response time; it is 94% faster than using the Fuzzy-PI voltage control algorithm and 6% faster than using the Crisp-PI voltage control algorithm.Hence, it can be concluded that the proposed algorithms have successfully performed their functions by effectively enhancing the operation of the SAPF.…”
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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

“…This model serves as a practical guide for educators and stakeholders aiming to implement AI-enhanced pedagogies responsibly. Ultimately, the study underscores the need for interdisciplinary collaboration among educators, policymakers, and technology developers to foster sustainable and inclusive learning environments. …”
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive by Hannan M.A., Ali J.A., Mohamed A., Amirulddin U.A.U., Tan N.M.L., Uddin M.N.

A video-rate color image segmentation using adaptive and statistical membership function by Sojodishijani, Omid, Rostami, Vahid, Ramli, Abdul Rahman

“…In this algorithm, statistical information of regions is used to create fuzzy membership functions in color model components. …”
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