Search Results - (("subset selection algorithm") OR ("object detection algorithm"))
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ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE
Published 2012“…However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. …”
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Conference or Workshop Item -
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Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone
Published 2013“…However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. …”
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Article -
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Realization of Generalized RBF Network
Published 2003“…The contributions of this work are: i) improvement on the standard radial basis function network architecture, ii) proposed a new cost function for classification, iii) hidden units feature subset selection algorithm, and iv) optimizing the neural classifier using the genetic algorithm with a new cost function. …”
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Proceeding -
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A review of object detection in traffic scenes based on deep learning
Published 2024“…Finally, it concludes the development trends of object detection algorithms in traffic scenarios, providing research directions for intelligent transportation and autonomous driving.…”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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System setup on jetson nano for smart crowd covid monitoring system
Published 2022“…The object detection algorithm YOLO, which stands for "You Only Look Once," divides images into a grid system. …”
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Undergraduates Project Papers -
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Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease
Published 2016“…For estimation-post-selection approach, there were two subset selection algorithms were applied, namely backward stepwise subset selection and best-subset selection. …”
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Thesis -
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Modelling the yield loss of oil palm due to ganoderma basal stem rot disease
Published 2016“…For estimation-post-selection approach, there were two subset selection algorithms were applied, namely backward stepwise subset selection and best-subset selection. …”
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Thesis -
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Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
Published 2020“…This paper presented an analysis performance of deep learning object detector by combining a deep learning Convolutional Neural Network (CNN) for object classification and applies classic object detection algorithms to devise our own deep learning object detector. …”
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Article -
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A Naïve-Bayes classifier for damage detection in engineering materials
Published 2007“…The Naïve-Bayes classifier and the proposed feature subset selection algorithm have been shown as efficient techniques for damage detection in engineering materials. …”
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Home intruder detection system using machine learning and IoT
Published 2022“…HIDES implements an object detection algorithm; Single-Shot Multibox Detection (SSD) in NVIDIA Jetson Nano to detect intruders through a camera connected to the system. …”
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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“…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. YOLOv7 is chosen as the object detection algorithm to detect sun, while Q-learning is chosen as the algorithm for reinforcement learning to control the motors. …”
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Final Year Project / Dissertation / Thesis -
15
Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection
Published 2025“…Overall, the findings emphasize the need to carefully select object detection algorithms tailored to dataset characteristics in order to optimize performance across diverse maritime environments.…”
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Analysis Of Human Detection Method In Social Distancing Monitoring
Published 2022“…This study concludes that the use of current proposed object detection algorithms can be used to detect humans and the Euclidean distance method is successfully implemented together with the object detection algorithm…”
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Undergraduates Project Papers -
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An FPGA based embedded vision system for real-time motion detection
Published 2015“…This paper proposes an efficient FPGA (Field Programmable Gate Array) based real time video processing platform for monocular object detection. Algorithms that depend on the background subtraction techniques were proposed on FPGA. …”
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Proceeding Paper -
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Use AI to detect defect pin in electrical connector
Published 2025“…The model development phase leverages the YOLOv8 object detection algorithm, selected for its balance of speed and accuracy in real-time applications. …”
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Final Year Project / Dissertation / Thesis -
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Deep learning-based item classification for retail automation
Published 2025“…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. …”
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Final Year Project / Dissertation / Thesis -
20
Use AI to detect defect pin in electrical connector
Published 2025“…The model development phase leverages the YOLOv8 object detection algorithm, selected for its balance of speed and accuracy in real-time applications. …”
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Final Year Project / Dissertation / Thesis
