Search Results - (( using function _ algorithm ) OR ( basic evaluation model algorithm ))
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…The performance of the fuzzy adaptive teaching learning-based optimization is evaluated against other metaheuristic algorithms including basic teaching learning-based optimization on 23 unconstrained global test functions. …”
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Article -
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BMTutor research design: Malay sentence parse tree visualization
Published 2014“…As a result of the lack of models and algorithms have been introduced in both parsers, the model and algorithm development phase is introduced in the design of BMTutor.Output from the development process shows that the prototype is able to provide sentence correction for all 15 invalid sentences and can produce parse tree visualizations for all 20 sentences used for prototype testing.…”
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Conference or Workshop Item -
3
Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…It is observed that the APFLC showed convincing performance over the entire simulation of the Pico-satellite. Genetic Algorithm (GA) is a computational model inspired by evaluation. …”
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Thesis -
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User to user topic recommendation model for student social interaction
Published 2025“…The results show that the Parameterized Basic Ranking Evaluation Function (PBREF) has higher accuracy (69.90%) than Parameterized Multiple Classifier Ranking Evaluation Function (PMCREF) with 64.58%. …”
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Thesis -
6
Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
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Thesis -
7
Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…The experimentations of the proposed algorithm are conducted using existing benchmark instances and a published case study on an energy-efficient job-shop model. …”
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8
Power System State Estimation In Large-Scale Networks
Published 2010“…The gain and the Jacobian matrices associated with the basic algorithm require large storage and have to be evaluated at every iteration, resulting in more computation time. …”
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9
Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.]
Published 2025“…Within the application interface, the quantities of items sorted into respective containers were displayed dynamically. The monitoring algorithm’s functionality was verified by deploying the AR Simulation app and evaluating its performance. …”
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Article -
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Modeling and development of predictive controller for positioning control of electro-hydraulic actuator (EHA) system
Published 2024“…In this study, the system identification technique is used to model the EHA system, while predictive controller specifically Predictive Functional Controller (PFC) is proposed as a new strategy to control the position of the EHA system. …”
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Computational biology: where nature meets technology / Ts Faikah Awang @ Ismail and Ts Mohamad Shahrimi Hashim
Published 2023“…It all began in the early 1970s when basic artificial intelligence was developed to create the neural network model for the human brain to generate new algorithms. …”
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Robust Kernel Density Function Estimation
Published 2010“…The classical kernel density function estimation approach is widely used in various formula and methods. …”
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Thesis -
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MM-PNEMO: a mathematical model to assess handoff delay and packet loss
Published 2019“…Moreover, the wireless nodes are typically small that results in resource-constrained. Thus, it is uphill to use algorithms having giant processing power or memory footprint. …”
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Interval type-2 fuzzy logic control optimize by spiral dynamic algorithm for two-wheeled wheelchair
Published 2020“…Thus, IT2FLC has been proposed as the compatible control strategy for disturbance rejections to overcome uncertainties for enhanced system stability in the upright position. Basically, IT2FLC uses a Type-2 Fuzzy Set (T2FS) and its membership function (MFs) composed of the lower MFs, upper MFs, and footprint of uncertainty (FOU). …”
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Thesis -
15
Agent-based extraction algorithm for computational problem solving
Published 2015“…Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. …”
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Thesis -
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Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model
Published 2017“…Specifically, this basic study aims to (1) formulate mathematical procedures for finding self-equilibrated configurations of spine biotensegrity structure (SBS) models (2) formulate computational strategy for simulating the shape change of novel SBS models, and (3) evaluate the characteristics of the novel SBS models. …”
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Group consumers' preference recommendation algorithm model for online apparel's colour based on Kansei engineering
Published 2023“…Thus, this study took the colour design of men's plain-colour shirts as an example in China, established the basic colour calculation scale and an algorithm model of group consumers' product preferences based on Kansei Engineering and scientific mathematics, to provide new sales ideas and methods for retailers and markets online. …”
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Mining The Basic Reproduction Number (R0) Forecast For The Covid Outbreak
Published 2022“…Besides, the essential attributes to return the best prediction model for COVID-19 R0 remains unclear. Therefore, this study aims to identify and evaluate the attributes and parameters associated with the development of the Basic Reproduction Number, R0 models, classify the data used in existing Basic Reproduction Number R0 models, develop a predictive classification model for the Basic Reproduction Number, R0 and to assess and enhance the accuracy of the Basic Reproduction Number, R0 prediction. …”
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Monograph -
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System identification using Extended Kalman Filter
Published 2017“…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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Student Project -
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High performance hierarchical torus network
Published 2012“…The static network performances are derived from the graph model and the DCP is evaluated by using dimension-order routing and newly proposed adaptive routing algorithms under various traffic patterns. …”
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Proceeding Paper
