Search Results - (( surface visualization learning algorithm ) OR ( java implementation phase algorithm ))

Machine learning approach for automated optical inspection of electronic components by Lim, Siew Kee

“…The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

“…All the algorithm for the engine has been developed by using Java script language. …”
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Automated visual defect detection using deep learning by Loh, Xiao

“…Model analysis and evaluation are performed to compare the performance of all the algorithms in a variety of aspects. In this project, a magnetic tile defect dataset and a production item surface defect dataset are employed to train and evaluate deep learning segmentation models. …”
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Machine learning application for concrete surface defects automatic damage classification by Syahrul Fithry Senin, Khairullah Yusuf, Amer Yusuf, Rohamezan Rohim

“…In the context of investigating the condition of concrete surface that has defects, a visual inspection is usually performed. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar by Tengku Jaafar, Tengku Salman Fathi

“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Deep learning-based water segmentation for autonomous surface vessel by Mohd Adam, Muhammad Ammar, Ibrahim, Ahmad Imran, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus

“…Visual-based obstacle detection from an autonomous surface vessel (ASV) is a complex task due to high variance of scene properties such as different illumination and presence of reflections. …”
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Classification of metal screw defect detection using FOMO on edge impulse / Muhammad Imran Daing by Daing, Muhammad Imran

“…This project uses the FOMO (Faster Objects, More Objects) algorithm to detect surface flaws on metal screws. …”
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Micro-defects detection on metal screw surfaces based on algorithm of faster region convolutional neural network over internet of things / Nur Aainaa Zainal by Zainal, Nur Aainaa

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Texture-based classification of workpiece surface images using the support vector machine by Ashour, Mohammed Waleed, Abdul Halin, Alfian, Khalid, Fatimah, Abdullah, Lili Nurliyana, Darwish, Samy H.

“…Identifying the specific machining processes used to produce specific workpiece surfaces is very useful in materials inspection. Machine vision can be used to semi- or fully automate this identification process by firstly extracting features from captured workpiece images, followed by analysis using machine learning algorithms. …”
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Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan by Ali, Kohan

“…Modern approaches use deep learning to address this task by trying to learn depth information in a supervised manner. …”
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A flowchart-based multi-agent system for assisting novice programmers with problem solving activities by Hooshyar D., Ahmad R.B., Raj R.G., Nizam M.H.N.M., Yousefi M., Horng S.-J., Rugelj J.

“…In order to address this problem, FMAS, a flowchart-based multi-agent system is developed to familiarize students who have no prior knowledge of programming, with the initial stages in learning programming. The aim is to improve students' problem solving skills and to introduce them to the basic programming algorithms prior to surface structure, using an automatic text-to-flowchart conversion approach. …”

Proactive thermal management of photovoltaic systems using nanofluid cooling and advanced machine learning models by Masalha, Ismail, Alahmer, Ali, Badran, Omar, Al-Khawaldeh, Mustafa Awwad, Masuri, Siti Ujila, Maaitah, Hussein

“…This study aims to advance thermal management strategies for photovoltaic (PV) systems by evaluating the cooling efficiency of TiO2-water nanofluids and developing robust machine learning (ML) models for predicting surface temperature and power output. …”
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Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

“…Hence, deep learning technique was chosen for water segmentation procedure in this work. …”
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