Search Results - (( developing defect classification algorithm ) OR ( java application stemming algorithm ))
Search alternatives:
- defect classification »
- application stemming »
- stemming algorithm »
- developing defect »
- java application »
-
1
Evaluation of the Transfer Learning Models in Wafer Defects Classification
Published 2022“…The key metrics for the evaluation are classification accuracy, classification precision and classification recall. 855 images were used to train and test the algorithms. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
Design and Development of Artificial Intelligence (Al)-Based Desicion Support System For Manufacturing Applications
Published 2016“…Further work will focus on ascertaining the stability of the FAM network in defect classification, as well as on improving the overall performance of the defect detection algorithms developed in this project. …”
Get full text
Monograph -
3
Neural network paradigm for classification of defects on PCB
Published 2003“…The algorithms to segment the image into basic primitive patterns, enclosing the primitive patterns, patterns assignment, patterns normalization, and classification have been developed based on binary morphological image processing and Learning Vector Quantization (LVQ) neural network. …”
Get full text
Get full text
Article -
4
-
5
A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface
Published 2018“…The image processing algorithm has been developed to extract the main features of the tested objects such as defects, borders, and noise. …”
Get full text
Get full text
Get full text
Article -
6
Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Published 2023“…However, high similarity of characteristics among the shapes and textures has been a major challenge in defect classification process. The objective of this research was to develop and analyse feature extraction used for classification techniques for defect detection of solar photovoltaic modules surfaces. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials
Published 2013“…Therefore, by removmg the low frequency signals, the intemal defect detectability can be improved. Moreover, the classification of an input pattem based on the closest neighbours of the point of interest provides more accurate defect detection in comparison with the classification based on experience data as the defect pattems vary on circumstances in ultrasonic NDE problems.…”
Get full text
Get full text
Thesis -
8
Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
Get full text
Get full text
Thesis -
9
Hybrid multilayered perceptron network for classification of bundle branch blocks
Published 2012Get full text
Working Paper -
10
Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding
Published 2023“…The root-mean-square and spectral entropy of both unfiltered and filtered signals were extracted, and classification models were developed using these data sets. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
A three dimensional (3D) vision based defect inspection system for gluing application
Published 2013“…Each defect has special characteristic. Inspection system developed to identify problems occurs in gluing process. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
12
-
13
Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee
Published 2023“…In this research work, the motivation is to develop an autonomous learning model based on the hybridization of an adaptive ANN and a metaheuristic algorithm for optimizing ANN parameters so that the network could perform learning and adaptation in a more flexible way and handle condition classification tasks more accurately in industries, such as in power systems. …”
Get full text
Get full text
Get full text
Thesis -
14
Computer aided diagnoses for detecting the severity of Keratoconus
Published 2024“…The findings may help ophthalmologists to make informed decisions for patients with severe KC and assessments based on the percentage of corneal defects.…”
Get full text
Get full text
Get full text
Article -
15
Enhancement of weld penetrations classification model performance through the implementation of denoising methods towards the acquired acoustic and optical signals during laser bea...
Published 2025“…This project aims to enhance a classification model to estimate the weld penetration conditions of LBW by employing the EMD-Z-score (EMD-ZS) and spectral averaging (SA) denoising algorithm in the pre-processing stage. …”
Get full text
Get full text
Get full text
Article -
16
Predictive Framework for Imbalance Dataset
Published 2012“…Properties of the proposed framework include; developing an approach to correlate materials defects, developing an approach to represent data attributes features, analyzing various ratio and types of data re-sampling, analyzing the impact of data dimension reduction for various data size, and partitioning data size and algorithmic schemes against the prediction performance. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
17
Real-time oil palm fruit bunch ripeness grading system using image processing techniques
Published 2013“…This research has achieved its stated goal of developing a real time oil palm grading system for automated FFB types and ripeness classification. …”
Get full text
Get full text
Thesis