Search Results - (( frames detection path algorithm ) OR ( using factorization learning algorithm ))

False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, Ateeq U. R., Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

“…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
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Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

“…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 by Al-Khateeb, Khalid A. Saeed, Awang, Mat Kamil, Khalifa, Othman Omran

“…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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Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle by Ramli, Muhammad Faiz, Shamsudin, Syariful Syafiq, Legowo, Ari

“…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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Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points by Ramli, Muhammad Faiz, Sutjipto, Agus G.E., Sulaeman, Erwin, Ari Legowo, Ari Legowo

“…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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Real time tracking in 3D space by robotic vision by Al-Khateeb, Khalid A. Saeed, Dandu, Mohd Akram

“…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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A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan by Nauman , Khan

“…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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Object tracing from synthetic fluid spray through instance segmentation by Md Refat Khan, Pathan

“…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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Design and implementation of an object-following system by using DJI Tello drone by Noordin, Aminurrashid, Ahmad, Suziana, Ab Rahman, Azhan, Lam, Shu Xuan, Mohd Basri, Mohd Ariffanan, Mat Lazim, Izzuddin, Khalifa, Mustafa Saad

“…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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Enhancement processing time and accuracy training via significant parameters in the batch BP algorithm by Fatma Susilawati, Mohamad, Mumtazimah, Mohamad, Sarhan, AlDuais

“…We created the dynamic learning rate and dynamic momentum factor for increasing the efficiency of the algorithm. …”
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

“…The proposed algorithms aim to accelerate the processes of distortion removal and rectification using precomputed combined maps. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

“…The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network by Haviluddin

“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
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Design And Implementation of an Object-Following System by Using DJI Tello Drone by Lam Shu Xuan, Aminurrashid Noordin, Suziana Ahmad, Azhan AB Rahman, Mohd Ariffanan Mohd Basri, Izzuddin Mat Lazim, Mustafa Saad Khalifa

Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar by Ja'afar, Nur Shahirah

“…These algorithms were developed by using prewar shophouses dataset from 2004 until 2018 based on factors of heritage properties. …”
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Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding by Mahmoud, Omer, Anwar, Farhat, Salami, Momoh Jimoh Emiyoka

“…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. …”
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Optimization of chest X-ray exposure factors using machine learning algorithm by Hamd, Zuhal Y., Alrebdi, H.I., Osman, Eyas G., Awwad, Areej, Alnawwaf, Layan, Nashri, Nawal, Alfnekh, Rema, Khandaker, Mayeen Uddin *

“…In this study, the chest X-ray exposure factors for 178 patients with different body mass index (BMI) values have been analyzed using the Python Machine Learning algorithm. …”
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A bayesian network approach to identify factors affecting learning of Additional Mathematics by Ong, Hong Choon, Kumarenthiran A/L Chandrasekaran

“…Constraint-based algorithms and score-based algorithms are used to generate the networks into several categories to compare and identify the strong relationships among the factors that affect the students’ learning of the subject. …”
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Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

“…This algorithm utilizes two term parameters which are Learning Rate, α and Momentum Factor,β. …”
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Reverse migration prediction model based on machine learning / Azreen Anuar by Anuar, Azreen

“…A significant way to minimize the errors is by using a machine learning approach that can predict reverse migration intelligently depending on the tested dataset. …”
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