Search Results - object ((((electron algorithm) OR (connection algorithm))) OR (detection algorithm))

Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

“…These templates are combined to create the most ideal algorithm to detect a moving object in an image. A video of a bouncing ball is recorded using a static camera. …”
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Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT by Malik, Ahmed Dhahir

“…The Internet of Things (IoT), the idea of getting real-world objects connected with each other, will change the ways we organize, obtain and consume information radically. …”
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Document image skew detection and correction method based on extreme points by Wagdy, M., Faye, I., Rohaya, D.

“…The experimental results show the high performance of the algorithm in detecting the angle of skew for a variety of documents with different levels of complexity. …”
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Embedded System Object Tracking Using Webcam by Yan, Ng Jia

“…The SimpleCV, an open source framework that provides free computer vision libraries that is useful for object detection and tracking algorithm development.…”
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Object detection system using haar-classifier by Wan Najwa, Wan Ismail

“…An algorithm for the design object detection systems is presented. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

“…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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The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition by Othman, Mahmod, Syed Abdullah, Sharifah Lailee, Ahmad, Khairul Adilah, Abu Bakar, Mohd Nazari, Mansor, Ab Razak

“…To address this problem, this paper proposes a fusion of selected edge detection algorithms with mathematical morphology to enhance the ability to detect the object shape boundary. …”
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Mobile machine vision for railway surveillance system using deep learning algorithm by Kit, Guan Lim, Daniel Siruno, Min, Keng Tan, Chung, Fan Liau, Sha, Huang, Tze, Kenneth Kin Teo

“…This model can be implemented with Raspberry Pi to simulate the object detection algorithm virtually. During simulation, the object recognition algorithm is able to detect and classify various objects into its respective classes. …”
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WSN sensor node placement approach based on multi-objective optimization by Abidin H.Z., Din N.M., Radzi N.A.M.

“…The performance of the WSN deployed with MOTPSMA is then compared with another algorithm known as Multi-objective Evolutionary Algorithm based on Fuzzy Dominance (MOEA/DFD) in terms of coverage ratio, connectivity and energy consumption. …”

A new corner detection algorithm for chain code representation. by Haron , Habibollah, Shamsuddin , Siti Mariyam, Mohamed, Dzulkifli

“…A new algorithm is proposed to detect a corner of a thinned binary image that is represented by an eight-connected contour chain code. …”
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Development of novel distance relay scheme to prevent false tripping during power swing by Mohamad, Nor Zulaily

“…The proposed adaptive algorithm has been developed by employing the combination of both detection schemes, as well as based on an adaptive setting of Under Impedance Fault Detector (UIFD) tripping characteristics to dynamically adjust its tripping region during power swing and stop the adjustment if a fault occurs during power swing. …”
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Edge Detection Algorithm For Image Processing Of Search And Rescue Robot by A/L Sivem, Prasanthran

“…This paper highlights the various edge detection algorithms working method and comparison is made based on the advantages and disadvantages of the algorithms for the identification of an optimum edge detection algorithm. …”
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Multi-objective biological mimicry optimization algorithm for WSN sensor node placement by Abidin H.Z., Din N.M., Radzi N.A.M.

“…Algorithms; Bioinformatics; Energy utilization; Integer programming; Multiobjective optimization; Optimization; Wireless sensor networks; biological inspired; connectivity; coverage; energy; Multi objective; Sensor node placement; WSN; Sensor nodes…”

Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan by Muhammad @ Atan, Nurmalessa

“…Finally, the verification on the two additional sites of FD algorithm has detected the 'No Fault' and 'Fault' as suggested by the type of failure occurrence and failure identification technique.…”
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Parallelizing Algorithm For Object Recognition Based On Edge Detection On Sunfire Cluster. by Osman, Mohd Azam, Sanudin, Maziani, Ibrahim, Muhammad Ismail

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An Algorithm for Vehicle Detection and Tracking by Malik , Aamir Saeed

“…In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. …”
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System setup on jetson nano for smart crowd covid monitoring system by Muhammad Othman, Maliki

“…Each grid cell is in charge of detecting objects within itself. Because of its speed and accuracy, YOLO is one of the most well-known object detection algorithms. …”
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Multicolour object detection using multithreading by Saaidon, Nur'Ain, Sediono, Wahju

“…This paper presents the method of detecting multicolour objects and the processing time comparisons of designed algorithms. …”
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A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method by Zalili, Musa, Mohd Hafiz, Mohd Hassin, Nurul Izzatie Husna, Fauzi, Rohani, Abu Bakar, Watada, Junzo

“…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
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Integrating genetic algorithms and fuzzy c-means for anomaly detection by Chimphlee, Witcha, Abdullah, Abdul Hanan, Sap, Noor Md., Chimphlee, Siriporn, Srinoy, Surat

“…Clustering-based intrusion detection algorithm which trains on unlabeled data in order to detect new intrusions. …”
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