Search Results - (( java application optimisation algorithm ) OR ( using composition detection algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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A study of progressive damage detection in thin-walled composite structures using an embedded fiber Bragg grating – acoustic emission hybrid system
Published 2019“…The algorithm was named as cross-correlation with linear source location technique (CC-LSL) impact detection algorithm.…”
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Research Report -
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Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks
Published 2010“…Impact damage detection in composite structures has gained a considerable interest in many engineering areas. …”
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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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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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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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Non-velocity based analysis of passive ultrasonic signal for source location detection in composite plates: a pilot study
Published 2012“…A linear source location algorithm utilizing AE signals energy attenuation patterns was developed and tested for the composite specimen. …”
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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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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“…This study evaluates the damage progression on glass fiber reinforced polyester composite specimens using different approaches of machine learning. …”
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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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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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Monograph -
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Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
Published 2015“…Lastly, images are warped and composited into single scene. Experimental results shows that SURF and SIFT are robust algorithm performing stable key point detection. …”
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Detection And Classification Of Impact-Induced Delamination In Fiberglass Pre-Impregnated Laminated Composites From Ultrasonic A-Scan Signal Using Artificial Intelligence
Published 2018“…In this study, the potential of using ultrasonic immersion testing for detecting the IID in FGLC type 7781 E-Glass fabric is studied. …”
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15
NN-Based FECG extraction from the composite abdominal ECG
Published 2008“…The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. …”
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Proceeding Paper -
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Artificial neural network for anomalies detection in distillation column
Published 2017“…The network is trained using back propagation algorithm to determine root mean square error (RMSE). …”
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Structural assessment of damaged and CFRP repaired reinforced concrete beams from experimental modal analysis / Moatasem Mohammed Fayyadh
Published 2012“…Previous studies have used modal parameters for damage detection and the assessment of repair work, and showed that existing algorithms used for damage detection sometimes produced inaccuracies and anomalies. …”
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Improved static and dynamic FBG sensor system for real-time monitoring of composite structures
Published 2017“…Thus, the designation of this research study is to improve the current FBG based real-time monitoring system with the use of certain functions and algorithms, that are the instant mesh-grid function, voltage normalization algorithm, CC-LSL algorithm, and FFT function. …”
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Delamination in fiberglass pre-impregnated laminated composites from ultrasonic a-scan signal using artificial intelligence
Published 2018“…In this study, the potential of using ultrasonic immersion testing for detecting the IID in FGLC type 7781 E-Glass fabric is studied. …”
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