Search Results - (( variable detection means algorithm ) OR ( based evaluation means algorithm ))
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1
Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
Published 2023“…Based on the results CF Method gave a Mean Squared Error (MSE) of 0.24 and Root Mean Squared Error (RMSE) of 0.48. …”
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Thesis -
2
Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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3
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…By using k-means algorithm the extracted features have been evaluated. …”
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4
Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation
Published 2018“…We detail the design of this combined algorithm and evaluate it through experiments on multiple synthetic and benchmark problems. …”
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Book Chapter -
5
Characterization of digital intra-oral dental radiographs based on image enhancement algorithms (IEAs) / Siti Arpah Ahmad
Published 2017“…Results from pilot study and literature review reveal the existing issue of disagreement among the dentists' evaluation. Thus, this work investigates the role of sharpening and AHE based image enhancement in reducing variability among the evaluation. …”
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6
Vibration analysis for early detection of bearing failures
Published 2024“…The vibration monitoring algorithm utilizes time-domain parameters, frequency domain analysis, and envelope analysis to assess bearing conditions. …”
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Final Year Project / Dissertation / Thesis -
7
Quaternion-based dynamic algorithm for random generation of solid 4D cylindrical curves in RVE modeling
Published 2025“…A quaternion‐based dynamic algorithm is developed to populate Representative Volume Elements (RVEs) with solid 4D cylindrical fibers, combining spatial centerline coordinates (x,y,z) and quaternion‐encoded orientation. …”
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Article -
8
Numerical Analysis of structural batteries response with the presence of uncertainty
Published 2023“…The proposed approach could detect the results that are not necessarily detected through deterministic means. …”
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9
Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts
Published 2020“…The first objective of this thesis is to develop the run sum X - AI (RS X - AI) chart for monitoring the process mean. Optimal parameters computed using the optimization algorithms developed and the step-by-step approach for constructing the optimal RS - AI chart are provided in this thesis. …”
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10
Numerical Analysis of Structural Batteries Response with the Presence of Uncertainty
Published 2023“…The proposed approach could detect the results that are not necessarily detected through deterministic means. …”
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11
Enhanced slider CAPTCHA recognition for vulnerability assessment / Wan Xing, Juliana Johari and Fazlina Ahmat Ruslan
Published 2025“…The study also presents Fixed Quantity Prediction-based Non-Maximum Suppression (FQP-NMS), a modified NMS algorithm ensuring a fixed number of predicted bounding boxes, addressing the variability inherent in standard NMS. …”
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12
Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest
Published 2026“…This paper presents an unsupervised network-based anomaly detection framework that integrates deep autoencoders with the Isolation Forest algorithm. …”
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13
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…The classical correlation estimators that employ the sample mean of the dependent and independent variables are known to be affected by outliers. …”
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Thesis -
14
Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis
Published 2011“…A comparison between one variable at a time, Taguchi method and artificial neural network shows that both Taguchi and ANN can reduce the amount of enzyme, amount of molecular sieve, reaction time and molar ratio in solvent based and solvent free system. …”
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15
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…Adopting the medoid instead of the mean can enhance the efficiency. However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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16
Gas Identi cation by Using a Cluster-k-Nearest-Neighbor
Published 2009“…We find 98.7% of accuracy in the classification of 6 different types of Gas by using K-means cluster algorithm and we find almost the same by using the new clustering algorithm.…”
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17
Enhancement of Space-Time Receiver Structure with Multiuser Detection for Wideband CDMA Communication Systems
Published 2006“…We consider two different pilot symbol assisted adaptive beamforming algorithms, Least Mean Square (LMS) and Recursive Least Square (RLS). …”
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18
Precipitation trend analysis for The Langat River Basin, Selangor, Malaysia
Published 2014“…In order to identify the homogeneous regions respectively for the annual and seasonal scales, firstly, at- site mean total annual and separately at site mean total seasonal precipitation were spatialized into 5 km × 5 km grids using the inverse distance weighting (IDW) algorithm. …”
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19
Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach
Published 2020“…The performance of the algorithm achieved a sensitivity of 100% for QRS onset detection and 100% for T offset detection. …”
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20
Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility
Published 2018“…For subjective evaluation, listening tests were evaluated using the Mean Opinion Score (MOS) technique. …”
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