Search Results - (( using composition based algorithm ) OR ( using detection method algorithm ))
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1
Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2024“…In addition, the local optima issue is overcome by the population reinitialisation method. The proposed algorithm, named the CFS-Mutable Composite Firefly Algorithm (CFS-MCFA), is evaluated based on two metrics, namely classification accuracy and genes subset size, using a Support Vector Machine (SVM) classifier. …”
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2
Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks
Published 2010“…The first method is based on a modified triangulation procedure and Genetic Algorithms whereas the second technique applies Artificial Neural Networks. …”
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3
Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
Published 2015“…To obtain matching point between images, Flann Based Matcher is used. Next homography estimation is performed by using RANSAC algorithm. …”
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4
NN-Based FECG extraction from the composite abdominal ECG
Published 2008“…The purpose of thi s paper is to illustrate the developed algorithms on FECG signal extraction from the abdominal ECG signal using Neural Network approach is to provide efficient and effective ways of separating and understanding the FECG signal and its nature. …”
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5
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…The collected datasets were used as inputs for the DM process. In this research, a fault diagnosis methodology based on Cross Industry Standard Process for Data Mining (CRISP-DM) model was proposed for the purpose of damage detection. …”
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6
Scanning laser thermographic system for non-destructive evaluation of incipient thermal damages in aircraft composite panel
Published 2018“…However, incipient thermal damage (ITD) that can cause reduction of 60% of composite mechanical strength are still unable to be detected using conventional NDT&E method. …”
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7
State-of-the-art ensemble learning and unsupervised learning in fatigue crack recognition of glass fiber reinforced polyester composite (GFRP) using acoustic emission
Published 2023“…SHAP values were used to select AE key features and K-means algorithms were employed to classify damage severity. …”
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8
Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation
Published 2021“…This paper validated the system simulation by implementing fault detection algorithms by using a real-time embedded observer-based system. …”
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9
Composite Drilling Monitoring System
Published 2019“…This research presents a monitoring system for composite drilling that inspect the condition of the drill bit using a digital microscope camera with a computer system that implies image processing method for flank wear detection. …”
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10
Improved static and dynamic FBG sensor system for real-time monitoring of composite structures
Published 2017“…Two specimens have been fabricated namely composite plate and composite beam which are based on hand lay-up lamination method. …”
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11
Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…Here, we also proposed pipelines based on a predictive model using statistical and machine learning algorithms to accurately differentiate colorectal adenocarcinoma and polyp patients from normal individuals. …”
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12
Defect detection of GFRP composites through long pulse thermography using an uncooled microbolometer infrared camera
Published 2024“…The results demonstrate that through parameter optimization, the depth defects in GFRP materials were successfully detected. The TC success rate reached 0.91 for detecting FBH depth defects in raw images, which improved significantly after post-processing using Canny edge detection and Hough circle detection algorithms. …”
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13
Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials
Published 2013“…It is found out that the proposed entropy-based k-nearest neighbour classification method has shown promising performance with 94.0 1% accuracy in close-spaced defects detection when minimal k-nearest neighbor is used. …”
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14
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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15
Enhancing CI engine performance and emission control using a hybrid RSM–Rao algorithm for ZnO-doped castor–neem biodiesel blends
Published 2025“…For the first time, the study adopts RSM and the Rao-3 Algorithm, a population-based metaheuristic, to optimize and model the performance and emissions attributes of a CI engine running on a ZnO-doped composite biodiesel (CB) blend, adopting neem-castor biodiesel as CB. …”
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16
Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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17
Detection And Classification Of Impact-Induced Delamination In Fiberglass Pre-Impregnated Laminated Composites From Ultrasonic A-Scan Signal Using Artificial Intelligence
Published 2018“…Existing detection method using static and dynamic load response have limitations that are considered static based monitoring and require the sensor to be attached to the test specimen surface. …”
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18
Delamination in fiberglass pre-impregnated laminated composites from ultrasonic a-scan signal using artificial intelligence
Published 2018“…Existing detection method using static and dynamic load response have limitations that are considered static based monitoring and require the sensor to be attached to the test specimen surface. …”
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19
G2 parametric curve and surface fitting using beta-spline / Normi Abdul Hadi
Published 2015“…In beta-spline curve fitting, the control points are calculated using least squares method. The data points are first segmented in comer detection process, then the curve control points are calculated based on the comer points. …”
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20
Forecasting Tourism Market for Fiji based on Indicator Approach
Published 2019“…Apart from utilising the composite leading indicator approach, a filtering extraction method, a dating algorithm for turning point detection and directional accuracy and binomial tests, this study also included Markov regime switching as well, for identifying the transition probabilities. …”
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