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Optimal overcurrent relay coordination in wind farm using genetic algorithm
Published 2015“…Many suggestions have been made and approaches implemented, however one of the most prominent methods is the use of Genetic Algorithm (GA) to improve the function and coordination of OCRs. …”
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Thesis -
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A Constrained Optimization based Extreme Learning Machine for noisy data regression
Published 2023Article -
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Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia
Published 2023“…Artificial intelligence (AI) was implemented to build forecasting models. …”
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Application of Artificial Intelligence In Smart City
Published 2021“…This study aims to study the effects of the implementation of AI in the smart city. The objectives of this study are to review the concepts of AI and smart city, conduct the Strength, Weakness, Opportunity, and Threat (SWOT) Analysis of deployment of AI in a smart city, and propose the future trends of AI implementation in a smart city. …”
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Legal Innovation in Religious Courts: The Potential Utilization of Artificial Intelligence (AI) in Resolving Contemporary Cases.
Published 2024“…However, implementing AI presents challenges, including inadequate regulations, potential algorithmic bias, and compatibility with Islamic legal values. …”
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Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing
Published 2011“…Many AI-based strategies have been developed, such as Ant Colony, Simulated Annealing, Genetic Algorithm, and Tabu Search. …”
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Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
Published 2012“…A variety of automatic knowledge acquisition or learning and adaptation concepts need to be established in speech recognition using AI approaches. These key concepts can only be implemented using artificial neural networks (ANNs) approach. …”
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Book Section -
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…One of the solution for the problem is to create an Artificial Intelligent (AI) cart follower. Therefore, this research is to create an AI system for the AI cart follower with a visual based sensor. …”
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An AI-based mental health and loneliness support plushie
Published 2025“…Concerning areas like data privacy, ethical use, algorithmic prejudice, and AI's inability to completely duplicate human empathy must be addressed. …”
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Characteristics of machining data and machine learning models - A case study
Published 2023“…This article is aimed to show a comprehensive review on AI implementation in machining of materials, and to present methodology in prediction model development. …”
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Conference or Workshop Item -
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Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar
Published 2019“…Therefore, numerical method in the form of bracketing method is often used to find only the approximate root of the function. …”
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Thesis -
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Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The second technique is to solve bi-objective functions by using the BOBAT algorithm. The third technique is an integration of BOGSA with BOBAT to produce a BOGSBAT algorithm. …”
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Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope
Published 2025“…This review introduces a novel taxonomic framework that provides a holistic perspective on AI integration into the automotive sector, focusing on next-generation AI methods and their critical implementation aspects. …”
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Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system
Published 2013“…Since last decade, Artificial Intelligence (AI) methods have been used to solve complex DG problems because in most cases they can provide global or near global solution. …”
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Thesis -
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Determining the preprocessing clustering algorithm in radial basis function neural network
Published 2008“…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
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