Search Results - (( data application using algorithm ) OR ( parameter detection using algorithm ))
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1
Experimenting the dendrite cell algorithm for disease outbreak detection model
Published 2014“…The characteristics of early outbreak signal which are weak and behaved under uncertainties has brought to the development of outbreak detection model based on dendrite cell algorithm.Although the algorithm is proven can improve detection performance, it relies on several parameters which need to be defined before mining.In this study, the most appropriate parameter setting for outbreak detection using dendrite cell algorithm is examined.The experiment includes four parameters; the number of cell cycle update, the number of dendrite cell allowed to be in population, weight, and migration threshold value. …”
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2
Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
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Comparative study of clustering-based outliers detection methods in circular-circular regression model
Published 2021“…Application to real data using wind data and a simulated data set are given for illustrative purposes. …”
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Comparative study of clustering-based outliers detection methods in circular-circular regression model
Published 2021“…Application to real data using wind data and a simulated data set are given for illustrative purposes. …”
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Comparative study of clustering-based outliers detection methods in circularcircular regression model
Published 2021“…Application to real data using wind data and a simulated data set are given for illustrative purposes. …”
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Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan
Published 2020“…A modified threshold-based technique was used to build the FD algorithm based on data from PV system installed at GERC UiTM, Malaysia. …”
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Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm
Published 2025“…Consequently, this paper proposes a method to improve the detection accuracy of You Only Look Once version 8 (YOLOv8) using Salp Swarm Algorithm (SSA) for hyperparameter optimization, focusing on eight key parameters. …”
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Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool
Published 2022“…Thus, the Jang algorithm and TransGuide algorithm could be used after calibrating their parameters for each day. …”
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Early detection of dengue disease using extreme learning machine
Published 2018“…The availability of nowadays clinical data of Dengue disease can be used to train machine learning algorithm in order to automaticaly detect the present of Dengue disease of the patients. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
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Evaluation of the Transfer Learning Models in Wafer Defects Classification
Published 2022“…In this paper, an evaluation for these transfer learning to be applied in wafer defect detection. The objective is to establish the best transfer learning algorithms with a known baseline parameter for Wafer Defect Detection. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…Model verification of all method and model proposed in this study are examined using the simulation study. As illustration, applications are displayed using wind and wave circular data sets.…”
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Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
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Enhanced android malware detection framework using API application framework layer
Published 2023“…This thesis was to develop an enhanced framework to detect Android malware application using Application Framework layer components. …”
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DRIVER FATIGUE ACCIDENT PREVENTION USING EYE BLINK SENSOR
Published 2013“…After extracting the eye region, the algorithm will be used to detect the duration of each eye blinks in order to detect fatigue.…”
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Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation
Published 2018“…T-way testing is a testing technique that is used to detect faults due to parameter interactions or software configurations. …”
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Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…This study indicates developing an algorithm for detecting and progressing through the hippocampus of patients with Alzheimer's disease in MRI images. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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