Search Results - (( development training visual algorithm ) OR ( java implication based algorithm ))
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In addition, the best band selected for image classification is not necessarily the best for classification.A Best Band Selection Index (BBSI) algorithm was developed which is capable of selecting the best band combination for image visualization and supervised classification. …”
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Distracted driver detection with deep convolution neural networks
Published 2023“…This project aims to develop a python algorithm to detect the distracted activities while driving. …”
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Object detection system using haar-classifier
Published 2009“…Development of this project is categorized into two phase which are training phase and execution phase. …”
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Visual Crowd Counting System Using Deep Learning
Published 2021“…This project is about developing a visual crowd counting system using deep learning. …”
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Evaluation of Real-Time Visio-Haptic Deformable Bovine Rectal Palpation Simulator
Published 2010“…A real-time Visio-haptic Bovine Rectal Palpation Simulator for training veterinary students was developed. The simulator was meant for training medical veterinary students before they could actually perform diagnosis of various parts of the reproductive tract on live animals. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). …”
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Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
Published 2007“…This paper describes the development of a synchronous, online brain computer interface (BCI) system based on detecting the steady-state visual evoked potential (SSVEP). …”
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Car dealership web application
Published 2022“…Besides, it was observed that the initial performance of a model that was trained on one data instance at a time could never be as good as a model that was trained on the whole batch of the training set at one time. …”
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Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan
Published 2023“…This project uses an algorithm called Naïve Bayes and the visualization is aided by the Plotly library in Python. …”
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Vehicle Detection in Deep Learning
Published 2019“…Robust and efficient vehicle detection is an important feature to utilize in the smart transportation system. With the development of computer vision techniques and accessibility of large-scale traffic transport data, deep learning has been enabled to on-road vehicle detection algorithms. …”
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A conceptual idea of four steps four layers framework for online 3D visualization in agricultural application
Published 2019“…The identified research problem was investigated since the current 3-layer framework has shortcomings, such as, weaknesses in the size of graph visualization where the graph size can make a typically decent layout algorithm totally unusable. …”
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A pilot study on the validation of vis-screen mobile application for vision test
Published 2020“…The simple algorithm and user-friendly features will promote any layperson to use it with minimal training. …”
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Automated visual defect detection using deep learning
Published 2022“…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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Domestic garbage target detection based on improved YOLOv5 algorithm
Published 2023“…In order to reduce the intensity of manual garbage classification and improve the efficiency and accuracy of garbage classification, a new type of household garbage classification based on improved YOLOv5 algorithm visual recognition is designed. Make a data set for garbage detection, and after training on the improved YOLOv5 network framework, detect the status of garbage in real time. …”
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Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images
Published 2018“…The developed algorithm minimizes blurring effects and enhances colour and contrast of the images. …”
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Subsea Pipeline Corrosion Estimation by Restoring and Enhancing Degraded Underwater Images
Published 2018“…The developed algorithm minimizes blurring effects and enhances colour and contrast of the images. …”
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Musical instrument identification using Convolutional Neural Network (CNN) algorithm / Muhammad Nur Azri Irfan Abdul Rahman
Published 2025“…This approach tried to overcome the limitations of the manual method and traditional algorithm, which tends to fail with the diverse dataset, diverse visual features, and scalability. …”
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