Search Results - (( frames detection path algorithm ) OR ( variable extraction using algorithm ))
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False path identification algorithm framework for nonseparable controller-data path circuits
Published 2016“…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
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Conference or Workshop Item -
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Development of obstable avoidance system for 3D robot navigation
Published 2024“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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Intelligent auto tracking in 3D space by image processing
Published 2009“…Hence, the spherical coordinates of the target are defined and updated with every TV frame. The time development of the centroid in successive TV frames represents the real time trajectory of the target path. …”
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Proceeding Paper -
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Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle
Published 2017“…In the experiment conducted, we successfully detect and determine a safe avoidance path for the UAV on 6 different sizes and textures of the obstacles including textureless obstacles…”
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Article -
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Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points
Published 2024“…A robust system should be able to not only detect obstacles but the free region for the avoidance path as well. …”
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Conference or Workshop Item -
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Real time tracking in 3D space by robotic vision
Published 2007“…The tracking is based on passive detection using live TV imaging. The target coordinates are determined by an image processing technique and non-linear prediction algorithm. …”
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Proceeding Paper -
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A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan
Published 2024“…PMTRF modules and their algorithms enable the isolation of the maintenance switch and the selection of the most reliable path for future affected flows based on input time provided by the administrator. …”
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Thesis -
8
Classification for large number of variables with two imbalanced groups
Published 2020“…This study proposed two algorithms of classification namely Algorithm 1 and Algorithm 2 which combine resampling, variable extraction, and classification procedure. …”
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Thesis -
9
Object tracing from synthetic fluid spray through instance segmentation
Published 2024“…The resulting objects were then analyzed using a customized nearest neighbor algorithm to calculate their correspondence between frames and a BFS algorithm was used to trace their movement path. …”
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Thesis -
10
Design and implementation of an object-following system by using DJI Tello drone
Published 2025“…The DJI Tello is a lightweight quadcopter equipped with a 5-megapixel camera capable of capturing 720p video at 30 frames per second. The system employs computer vision techniques, particularly Convolutional Neural Networks (CNNs), to detect and track moving objects in real time, while dynamically adjusting the drone’s flight path to maintain continuous visual contact. …”
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Optimal timber transportation planning in tropical hill forest using bees algorithm
Published 2022“…The model uses grid cell-sized 10 m x 10 m characterised with timber locations, volume and fixed and variable costs to represent the study area. …”
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Thesis -
14
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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Article -
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…The proposed algorithms aim to accelerate the processes of distortion removal and rectification using precomputed combined maps. …”
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Thesis -
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Design And Implementation of an Object-Following System by Using DJI Tello Drone
Published 2026journal::journal article -
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Optimized clustering with modified K-means algorithm
Published 2021“…Clustering technique is able to find hidden patterns and to extract useful information from huge data. Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). …”
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Thesis -
18
Coronary artery stenosis detection and visualization / Tang Sze Ling
Published 2015“…The performance evaluation results show that the stenosis detection algorithm performs better average sensitivity than several state-of-the-art algorithms.…”
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Thesis -
19
Multi road marking detection system for autonomous car using hybrid- based method
Published 2018“…With an accuracy of 96.53% using LVRI and 99.33% using the T. Wu datasets, the proposed algorithm able to detect almost all types of road markings. …”
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Thesis -
20
Analyzing The Potential Of Genetic Algorithm For Maximum Power Point Tracking In Wind Energy Conversion System In Malaysia
Published 2023“…A genetic algorithm is used to further optimised the control strategy by finding the optimised variable for the controller. …”
