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Fast and accurate algorithm for ECG authentication using residual depthwise separable convolutional neural networks
Published 2020“…By minimizing time-consuming ECG signal pre-processing and feature extraction, our proposed two-stage algorithm can authenticate the ECG signal around 660 μs. …”
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Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail
Published 2020“…Furthermore, the thesis managed to come up with several novel approaches on dynamic threshold setting, best matching of load balancing between VM Selection and VM Placement, and a special step to optimise the process setting via the pre-control method. …”
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
Published 2022“…Then, a new method for using fuzzy weights of the factors used in the Support Vector Machine algorithm is proposed. Then, using a new model coded that is proposed and coded by Python, the innovation level related to technology in green supply chains will be classified and predicted. …”
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A concept paper on readiness in artificial intelligence (AI) mastery and its impact on 21st century pedagogy among pre-service history teachers
Published 2025“…Preliminary observations suggest that while awareness of AI is relatively high among pre-service teachers, there is limited understanding of its pedagogical applications and ethical implications. …”
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Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining
Published 2020“…Apriori algorithm was used to generate rules in finding any relationships between sources of pollution and water quality parameters. …”
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Debris flow susceptibility areas identification in Bukit Kachi, Sintok, Kedah using Flow R Software / Nursyamimi Che Daud
Published 2023“…Debris flow can happen in the valley or on the mountain slope, demolishing everything in its path when poorly sorted material that has been saturated with water surges downslopes due to gravity and deposits as fans on the mountain floor. …”
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Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…In Malaysia, seagrasses commonly inhabit shallow intertidal waters, lagoons, mangrove, coral reef and shoal in subtidal zones. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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Improved opposition-based particle swarm optimization algorithm for global optimization
Published 2021“…Enhancing algorithm efficiency relative to the symmetric concept is a critical challenge in the field of information security. …”
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Symposium 3: Young Investigators Symposium Diet-related psycho-social factors associated with fat, fruits and vegetable consumption in adults
Published 2008“…The purpose of this cross-sectional study was to determine the relationship between diet-related psycho-social factors such as stages of change, self-efficacy, perceived benefits, perceived barriers and fat, fruit, and vegetable intake among 100 UPM staff. …”
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Computer-generated fractals with medical application in trabecular bone structure / Hizmawati Madzin
Published 2006“…The rate of decrease in FD with age for male and female depends on the puberty, pre-menopausal and post-menopausal stages.…”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…A physical based, distributed hydrological model was developed to route overland flows during isolated HISD storms. …”
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Data Mining Approach To Classify Covid-19 Severity By Clinical Symptoms
Published 2021“…Data pre-processing was carried out to identify and remove outliers. …”
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Finite Element Modeling Of Ballistic Penetration into Fabric Armor
Published 2006“…This program (named DYNTEX) based on the mentioned algorithm is designed using MATLAB code. A commercial finite element code named LS-DYNA is used as the solver and DYNTEX program is then extended to do the pre-processing for LS-DYNA. …”
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Improved static and dynamic FBG sensor system for real-time monitoring of composite structures
Published 2017“…The voltage normalization algorithm has reduced the output voltage variations from 26 data/minute to 17 data/minute with the elimination of pre-calibration each time before use. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language
Published 2016“…The sample of 3D data coordinates of X, Y, and Z axis is a value relative to the torso and head. In this study, the images has been captured using a kinect sensor based skeletal algorithms. …”
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Optimization of least squares support vector machine technique using genetic algorithm for electroencephalogram multi-dimensional signals
Published 2016“…Discrete wavelet packet transform (DWPT) has been used to extract EEG signals feature and ultimately 204,800 features from 32 subject-independent have been obtained. Meanwhile, Genetic Algorithm (GA) and Least squares support vector machine (LS-SVM) have been used as a feature selection technique and classifier respectively.This computational model is tested on the common DEAP pre-processed EEG dataset in order to classify three levels of valence and arousal.The empirical results have shown that the proposed GA-LSSVM, has improved the classification results to 49.22% and 54.83% for valence and arousal respectively, whereas is it observed that 46.33% of valence and 48.30% of arousal classification were achieved when no feature selection technique is applied on the identical classifier.…”
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