Search Results - (( ais implementation case algorithm ) OR ( parameter implementation developing algorithm ))

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  1. 1

    Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia by Joe Wee Wei, Mr.

    Published 2023
    “…Artificial intelligence (AI) was implemented to build forecasting models. …”
    text::Thesis
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    Application of Artificial Intelligence In Smart City by Law, Jia Wei

    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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    Final Year Project / Dissertation / Thesis
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    Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing by S. Ahmed, Bestoun

    Published 2011
    “…Many AI-based strategies have been developed, such as Ant Colony, Simulated Annealing, Genetic Algorithm, and Tabu Search. …”
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    Thesis
  6. 6

    Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition by Reyfill Konnik, Charlie Ivan

    Published 2014
    “…The motor control algorithm is developed by using DC motor control theory, which involves determining the motor's mechanical and electrical parameters.Upon the completion of mechanical fabrication, circuit design and parameter extraction, the process of developing the navigation algorithm begins. …”
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    Final Year Project
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    Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman by Seman, Noraini

    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
  8. 8

    Embedded Artificial Intelligent (AI) To Navigate Cart Follower by Tang, Khai Luen

    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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    Monograph
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    An AI-based mental health and loneliness support plushie by Norazhar, Fatin Nabila, Jamil, Muhammad Faris Fakhri, Baharum, Nuur Aleeysa, Roslan, Rohaiza

    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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    Book Section
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    Three phase induction motor coupled to DC motor in hybrid electric vehicle application by Zulkarnain, Lubis

    Published 2011
    “…A novel algorithm software mode observer based induction motor controller with on-line parameter adaptation is then presented. …”
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    Thesis
  14. 14

    Sequence-based interaction testing implementation using Bees Algorithm by Mohd Hazli M.Z., Kamal Z. Z., Rozmie R. O.

    Published 2023
    “…In this paper we present a sequence-based interaction testing strategy (termed as sequence covering array) using Bees Algorithm. We discuss the implementation, present and compare the results with existing sequence covering array algorithm. � 2012 IEEE.…”
    Conference paper
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    Development Of Motion Planer And Navigation System For An Office Assistant Robot by Looi, Chen Zheng

    Published 2021
    “…In order for the robot to navigate autonomously in the office, navigation algorithm and motion planner were implemented on these robot. …”
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    Final Year Project / Dissertation / Thesis
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    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…A control strategy based on froth model was then designed in order to optimize the visual characteristics of froth, which lead to the control of the metallurgical parameters in an indirect manner. Finally, a control strategy implementing the developed froth model and prediction system was introduced for direct optimization of metallurgical parameters. …”
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    Thesis
  17. 17

    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

    Published 2011
    “…The initial phase involved the development of the FSSM of the superheater system. In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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    Research Reports
  18. 18

    Characteristics of machining data and machine learning models - A case study by Natarajan, Elango, Fiorna, Vxynette, Al-Talib, Ammar Abdulaziz Majeed, Elango, Sangeetha, Gnanamuthu, Ezra Morris Abraham, Sarah Atifah, Saruchi

    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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    ANALYSIS AND INTERPRETATION OF PRESSURE TRANSIENT TEST DATA BY RECENT ROBUST DECONVOLUTION METHODS by Mohd Mustafa, Muhammad Izzatullah

    Published 2013
    “…In this work, by using the recent robust deconvolution algorithm of Pimonov et al. and/or the ones implemented in Weatherford PanSystem Well Test Software, the effects of the algorithmic parameters (including error levels in pressure and rate data, and the curvature constraint value) as well as the initial pressure on the deconvolved responses are investigated. …”
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    Final Year Project
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    The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm by Nurul Aimi Munirah, ., Muhammad Akmal, Remli, Noorlin, Mohd Ali, Hui, Wen Nies, Mohd Saberi, Mohamad, Khairul Nizar Syazwan, Wan Salihin Wong

    Published 2020
    “…However, all the data tends to be noisy and not fit. That is why many parameter estimation methods have been developed since their first introduction to determine the best value for a particular parameter. …”
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    Article