Search Results - (( java implementation learning algorithm ) OR ( using sliding process algorithm ))
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1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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2
Date store management in sliding window based on-line identification algorithms
Published 2001“…A key element of this process is data store management. This paper provides a brief overview of several sliding window algorithms used in on-line identification. …”
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3
Detection Technique of Squamous Epithelial Cells in Sputum Slide Images using Image Processing Analysis
Published 2014“…The presence of overlapping SEC in sputum slide images causes the process become complicated and tedious. …”
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4
Sliding Mode Speed Control for Induction Motor Drives with State-Dependent Gain Method
Published 2013“…The proposed algorithm and the vector control strategy are developed in digital signal processing board. …”
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5
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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6
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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7
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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8
State-dependent sliding mode control for three-phase induction motor drives
Published 2014“…In this research, this chattering phenomenon is significantly reduced by a newly developed algorithm. A fast sigmoid function with varying boundary layer algorithm is designed as a state-dependent to replace the discontinuous function in conventional sliding mode control as well as to avoid steady state error compare with the use of fixed boundary layer. …”
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9
SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…MLPs are well-known tools used in nonlinear system identification, statistical modelling, adaptive control signal, image processing and for many applications. …”
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10
Modified median filter for noise reduction in Ziehl-Neelsen sputum slide images
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11
Power System Harmonics Estimation using Sliding Window Based LMS
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12
Optimization Of Sliding Mode Control Using Particle Swarm Algorithm For An Electro-Hydraulic Actuator System
Published 2016“…The dynamic parts of electro-hydraulic actuator(EHA) system are widely applied in the industrial field for the process that exposed to the motion control.In order to achieve accurate motion produced by these dynamic parts,an appropriate controller will be needed.However,the EHA system is well known to be nonlinear in nature.A great challenge is carried out in the EHA system modelling and the controller development due to its nonlinear characteristic and system complexity.An appropriate controller with proper controller parameters will be needed in order to maintain or enhance the performance of the utilized controller.This paper presents the optimization on the variables of sliding mode control (SMC) by using Particle Swarm Optimization (PSO) algorithm.The control scheme is established from the derived dynamic equation which stability is proven through Lyapunov theorem.From the obtained simulation results,it can be clearly inferred that the SMC controller variables tuning through PSO algorithm performed better compared with the conventional proportionalintegral-derivative (PID) controller.…”
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13
Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…In this research, a hybrid observer is designed using the combination of artificial intelligence (AI) algorithm and conventional observer. …”
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14
Removal of Low Level Random-Valued Impulse Noise Using Dual Sliding Statistics Switching Median Filter
Published 2014“…Initially, the impulse noise detection stage of DSSSM algorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order, simultaneously. …”
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15
Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…This study aims to propose a framework for processing Top-k queries in UDS, where the focus is on leveraging the efficiency of the SWM, achieved through the SWMTop-kDelta algorithm. …”
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16
Single dimension-based fuzzy sliding mode control design for the stabilisation of underactuated unmanned underwater vehicle
Published 2021“…This effect can easily be eliminated using fuzzy version of sliding mode controller (F-SMC) but at the same moment it takes high processing time due to fuzzification, inference and then defuzzification steps. …”
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17
Color thresholding method for image segmentation algorithm of Ziehl-Neelsen sputum slide images
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18
Dual Sliding Statistics Switching Median Filter for the Removal of Low Level Random-Valued Impulse Noise
Published 2018“…Initially, the impulse noise detection stage of DSSSM algorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order, simultaneously. …”
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19
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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