Search Results - (( java implementation path algorithm ) OR ( quality visualization learning algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Thesis -
2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Article -
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Machine learning approach for automated optical inspection of electronic components
Published 2019“…The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
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Final Year Project / Dissertation / Thesis -
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Automated visual defect detection using deep learning
Published 2022“…Artificial intelligence visual inspection is a technique which utilises computer vision and deep learning technology to mechanically “see” a product and determine whether it has defects, without any human involvement. …”
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Final Year Project / Dissertation / Thesis -
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Defect green coffee bean detection using image recognition and supervised learning
Published 2022“…Normally, the evaluation that is carried out in determining the quality of green coffee is by visual inspection where it has limitations, and it is prone to error. …”
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Academic Exercise -
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Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah
Published 2021“…In general, this thesis introduces an automated machine learning algorithm for detecting diabetic retinopathy (DR) in fundus images. …”
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An adaptive HMM based approach for improving e-Learning methods
Published 2023“…Maladaptive e-Learning systems cannot impart quality content for each student as the users observe the information based on their exclusive learning traits. …”
Conference Paper -
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Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri
Published 2025“…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. …”
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Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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Diabetic retinopathy pathological signs detection using image enhancement technique and deep learning / Abdul Hafiz Abu Samah …[et al.]
Published 2021“…It also involves an image pre-processing enhancement technique to support accuracy on deep learning for DR classification. For the image enhancement process, high-pass filter, histogram equalization and de-haze algorithm are applied to improve the visual quality of fundus images. …”
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Article -
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Fog-cloud scheduling simulator for reinforcement learning algorithms
Published 2023“…Therefore, supplying optimized scheduling algorithms to provide satisfactory quality service for the node’s task execution and processing becomes demanding. …”
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Automatic Grading System Of Incoming Raw Unclean Edible Bird Nest Using Deep Learning Model
Published 2021“…Therefore, a deep learning model with the self-learning ability on the feature extraction process and low human intervention was developed to solve the drawbacks of the human visual system and conventional algorithms. …”
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Anomaly detection for vision-based inspection
Published 2022“…There are two approaches to visual inspection: the conventional approach which uses image processing techniques and the modern AI-based approach through deep learning. …”
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Final Year Project / Dissertation / Thesis -
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Lighting enhancement of underwater image using coronavirus herd immunity optimizer
Published 2025“…Therefore, many researchers have been attracted to developing diverse computer vision-based methods to improve the quality of underwater images, such as restoration, enhancement, and deep-learning techniques to restore and enhance degraded underwater images. …”
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Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng
Published 2018“…Experimental results show that the proposed method outperforms the state-of-the-art in the common visual quality measure, the peak signalto- noise ratio (PSNR) by 1.17dB. …”
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