Search Results - (( using function method algorithm ) OR ( software identification process algorithm ))
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1
Comparison Of Crossover In Genetic Algorithm For Discrete-Time System Identification
Published 2021“…One of its step is model structure selection and it is crucial that, in this step, an adequate model i.e. a model with a good balance between parsimony and accuracy of the model is selected in approximating the system. Genetic algorithm (GA), a method known for optimisation is used for selecting a model structure. …”
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2
Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods
Published 2024“…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
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Conference or Workshop Item -
3
Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods
Published 2024“…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
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Proceeding Paper -
4
Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…First, it presents the implementation of the cap constitutive model into ABAQUS FE software using the closest point projection algorithm. …”
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5
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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6
A modified technique in RFID networking planning and optimization
Published 2015“…In this research, PSO algorithm was used in the optimization process as it was considered as a very useful, efficient and well known algorithm. …”
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7
Analysis of Traffic Accident Patterns Using Association Rule Mining
Published 2024“…This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. …”
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Article -
8
Effect of mixing time and frequency-domain objectives in detecting problematic vibration on unmanned aerial vehicles via barnicle mating optimization
Published 2024“…Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and detection time are used to test and assess the fitness function with the Barnicle Mating optimization (BMO) Algorithm optimization technique. …”
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Conference or Workshop Item -
9
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…Software quality is an important research area and has gain considerable attention from software engineering community in identification of priority quality attributes in software development process. …”
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10
Crown counting and mapping of missing oil palm tree using airborne imaging system
Published 2019“…A graphical user interface by using MATLAB language was created based on the best executed method to aid users in counting the trees automatically. …”
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11
Hardware Software Partitioning Using Particle Swarm Optimization (PSO) In Image Processing Application
Published 2018“…In this project, car plate identification will be implemented in hardware-software partitioning by using PSO algorithm. …”
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Monograph -
12
Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…In conclusion, the finger vein identification hardware architecture based on KNCN classifier is successfully implemented on an FPGA board with faster processing time as compared with software-based implementation of KNCN classifier in MATLAB.…”
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13
Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…The process of development and implementation of DIS is carried out using MATLAB software and the image of the surface topography is then analysed to retrieve the results. …”
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14
Edge Detection Algorithm For Image Processing Of Search And Rescue Robot
Published 2016“…This project entitled “ Edge Detection Algorithm for Image Processing of Search and Rescue Robot ” has its primary purpose to identify an optimum edge detection algorithm for image processing of search and rescue robot. …”
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Final Year Project -
15
SYSTEM IDENTIFICATION AND MODEL PREDICTIVE CONTROL FOR INTERACTING SERIES PROCESS WITH NONLINEAR DYNAMICS
Published 2009“…Several important issues in the identification process and real-time implementation of model predictive control algorithm are also discussed. …”
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16
Software-Defined Radio-Based Modulation and Demodulation Scheme
Published 2009“…For this purpose, the MATLAB was used as the simulation software throughout this thesis, where the SIMULINK tool had been used for the simulation of the demodulation process. …”
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17
Face recognition and identification system (FaceRec) / Khew Jye Huei
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18
Texture-based feature using multi-blocks gray level co-occurrence matrix for ethnicity identification
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Conference or Workshop Item -
19
An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa
Published 2018“…The first stage is preprocessing procedure that combines the thresholding and filtering algorithm for pre processing the MRI images while the second stage contains two phases of main processing techniques of enhancement and segmentation. …”
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Book Section -
20
An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa
Published 2018“…The first stage is preprocessing procedure that combines the thresholding and filtering algorithm for pre processing the MRI images while the second stage contains two phases of main processing techniques of enhancement and segmentation. …”
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Thesis
