Search Results - (( bubble detection system algorithm ) OR ( panel classification system algorithm ))*

Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim R.A., Rahim H.A., Fazalul Rahiman M.H., Mohd Muji S.Z., Rohani J.M.

Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HA, Rahiman, MHF, Muji, SZM, Rohani, JM

“…Experiments in detecting moving air bubbles are conducted. The images of captured data are reconstructed based on filtered image of Linear Back Projection with Hybrid algorithms. …”

A comprehensive comparative experiment of edge detection for OMR by Sahri, Zahriah, Othman, Zuraini, Kasmin, Fauziah, Basiron, Halizah

“…These captured images go through a few image processing steps to display the grades. Edge detection is one of the steps. This study compares different established edge detection algorithms to detect edges of interest in OMR answer sheets such as bubbles or rectangles containing the bubbles. …”
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Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes by Wiliani, Ninuk, T.K.A, Rahman, Ramli, Suzaimah

“…Identifying and categorizing faults on solar panel surfaces is essential for maintenance, as these defects considerably affect energy output and system efficiency. …”
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Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm by Chandrasegaran, Ormiila, Mustapha, Faizal, Abdullah, Mohd Na’im, Anwar, Murniwati, Mustapha, Mazli, Adzis, Zuraimy

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Shape-Based Matching: Application of Defect Detection by Harun, Mohamad Haniff, Sulaiman , Marizan, Hairol Nizam , Mohd Shah

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Investigation on the effect of varying bubble size and location in electrical resistance tomography using conducting boundary strategy by Suzanna, Ridzuan Aw, Farah Hanan, Azimi, Lia Safiyah, Syafie, Ruzairi, Abdul Rahim, Yasmin, Abdul Wahab, Nurain Izzati, Shuhaimi, Raja Siti Nur Adiimah, Raja Aris, Ida Laila, Ahmad

“…Bubbles with a greater size than 6 mm and especially the one that is located near the wall boundary are much easier to detect. …”
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Online Simulation To Monitor Multiphase Flow Using Laser Source As Transmitter by Naizatul Shima Mohd Fadzil, Ruzairi Abdul Rahim, Mohd Hafiz Fazalul Rahiman, Siti Zarina Muji, Yasmin Abdul Wahab, Juliza Jamaludin

3D Gluing Defect Inspection System Using Shape-Based Matching Application From Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Lim Wee, Teck, Mohd Kazim, Mohd Nor Fakhzan

“…This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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A 3D Gluing Defect Inspection System Using Shape-Based Matching Application from Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Mohamad Haniff , Harun, Lim , Wee Teck, Mohd Nor Fakhzan, Moha Kazim

“…This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HBA, Rahiman, MHF, Rohani, JM, Muji, SZBM

“…Experiments in detecting static solid, transparent objects and moving air bubbles are conducted. …”

DEFECT INSPECTION SYSTEM FOR SHAPE-BASED MATCHING USING TWO CAMERAS by Sulaiman , Marizan, Shah, HNM, Harun, Mohd Hanif, Fakhzan, MN

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Defect Inspection System for Shape-Based Matching Using Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water by Jamaludin J., Rahim R.A., Rahim H.B.A., Rahiman M.H.F., Rohani J.M., Muji S.Z.B.M.

Defect Inspection System For Shape-Based Matching Using Two Cameras by Sulaiman, Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques by Che Soh, Azura, Mohamad Radzi, Nur Fadzilah, Mohamad Yusof, Umi Kalsom, Ishak, Asnor Juraiza, Hassan, Mohd Khair

“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

“…In the implementation phase, Bubble Sort, Euclidean Distance, 10-Fold Cross validation, and K Nearest Neighbor algorithm are developed. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation by Mahdavipour, Zeinab

“…In this thesis, an automatic and efficient defect detection system, utilising advanced classification and clustering strategies are proposed. …”
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Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning by Abuzaraida, Mustafa Ali, A. L. gaud, Sarah, Abrahim Hneish, Hamza, Attarbashi, Zainab

“…The pre-preparation steps included tagging objects using the Roboflow tool and rotating the images, which increased the size of the dataset by four times. Using the YOLOv8 algorithm, a model was trained to detect and track the state of coffee in real time. …”
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Initial study of invasive approach of electrical capacitance tomography for identifying non-conducting medium in steel pipe application by Mohd Shahrul, Md Jusob, Yasmin, Abdul Wahab, Leow, Pei Ling, Ruzairi, Abdul Rahim, Suzanna, Ridzuan Aw, Juliza, Jamaludin, Nurhafizah, Abu Talip Yusof, Rohana, Abdul Karim, Nor Farizan, Zakaria, Nurul Wahidah, Arshad, Mohd Mawardi, Saari, Zainah, Md. Zain, Mohd Anwar, Zawawi

“…In short, the invasive approach for ECT is seen to be possible to apply for oil-gas application in steel pipe. The LBP algorithm with the average MSSIM value around 0.3 was able to detect the oil-gas regime inside the steel pipe.…”
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