Search Results - (( intelligence systems learning algorithm ) OR ( intelligence image based algorithm ))
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…Therefore, a fully artificial intelligent (AI)-integrated sun-tracking algorithm is proposed and can be used in any type of sun-tracking systems such as concentrated photovoltaic (CPV), flat photovoltaic (PV) or heliostat systems. …”
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Final Year Project / Dissertation / Thesis -
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…Recent application of modern marketing techniques coupled with intelligent agricultural systems of production has transformed small scale farming into large scale, in most part of the world. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…This research proposes a low-cost alternative using intelligent fruit selection systems based on computer vision techniques to address these issues. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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Thesis -
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Overhead view based person counting using deep learning
Published 2022“…Detecting people in an image or a video has become more prevalent due to the rapid advancement of technologies in the field of artificial intelligence. …”
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Final Year Project / Dissertation / Thesis -
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A preliminary lightweight random forest approach-based image classification for plant disease detection
Published 2022“…Random Forest is a special kind of ensemble learning technique and it turns out to perform very well compared to other classification algorithms such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN). …”
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Conference or Workshop Item -
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Spot welding quality check using artificial intelligence / Jagadisa Rajarathnam
Published 2018“…This thesis studies on determining the spot weld quality based on a captured image of the spot point. In order to accurately determine the quality, a complex image processing algorithm is applied. …”
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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review
Published 2021“…Artificial intelligence technologies that benefited healthcare include machine learning, natural language processing, rule-based expert system, physical robots, and robotics process automation. …”
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Classification of JPEG files by using extreme learning machine
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Underwater Image Recognition using Machine Learning
Published 2024“…A Convolutional Neural Network (CNN) is a type of a deep learned an algorithm that has been created for image processing when using convolutional layers to automatically and in a hierarchical way learn features from the input images. …”
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Application of target detection method based on convolutional neural network in sustainable outdoor education
Published 2023“…Next, the dataset of the specific underwater target image is further constructed. The acquisition system of underwater camera information of manned submersibles is designed through the Single Shot-MultiBox Detector algorithm of deep learning. …”
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Supervisory fuzzy learning control for underwater target tracking
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Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm
Published 2023Article -
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The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…It does not have an intelligent sensor to self-learn the road conditions and number of vehicles so that the controller will react based on the traffic information at a particular intersection. …”
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Thesis -
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Real-Time Object Detection System for Hospital Assets Using YOLOv8
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Conference or Workshop Item -
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Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
Published 2022“…The third proposed system uses artificial neural networks (ANNs) based on the features of the GoogLeNet, ResNet-50 and AlexNet models, whose dimensions are reduced by a principal component analysis (PCA) algorithm, and then the low-dimensional features are combined with the features of the GLCM and LBP algorithms. …”
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Text to Image Generation Using Machine Learning
Published 2024“…It is difficult to create a text-to-image synthesis system that consistently creates realistic graphics based on predetermined criteria. …”
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Development of Image-Based Emotion Recognition using Convolutional Neural Networks
Published 2021“…One of the prominent applications is detecting emotion from an image, which can help an intelligent automatic response system respond appropriately based on the user’s emotion. …”
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