Search Results - (( java segmentation using algorithm ) OR ( consumer detection based algorithm ))
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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…Clustering-based intrusion detection algorithm which trains on unlabeled data in order to detect new intrusions. …”
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Domestic garbage target detection based on improved YOLOv5 algorithm
Published 2023“…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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Microcrack Detection And Noise Reduction In Integrated Circuit Packages
Published 2018“…Three algorithms are tested and evaluated in terms of microcrack detection and noise reduction which are probability based thresholding, histogram equalization, and modified Perona-Malik’s anisotropic diffusion methods. …”
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Energy detection for spectrum sensing in OFDM-based cooperative and non-cooperative radio networks
Published 2018“…This algorithm can also work for big number of SUs that detect the OFDM signal. …”
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Pengesanan minutiae imej cap jari berskala kelabu menggunakan algoritma susuran batas
Published 2002“…Even though, Wse minutiae still detected during the process. Based on these errors, an improved Ridge Line Following Algorithm has developed which consist of five processes; tangent direction computation, sectioning and maximum determination, end point detection, bifurcation point detection, and post-processing. …”
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Unsupervised Anomaly Detection with Unlabeled Data Using Clustering
Published 2005“…We present a clustering-based intrusion detection algorithm, unsupervised anomaly detection, which trains on unlabeled data in order to detect new intrusions. …”
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Automatic Textile Stain Detection Using Yolo Algorithm
Published 2024“…Traditional hands-on inspection methods are time-consuming, not immune to errors, and expensive. This research paper proposes a novel approach for automatic textile stain detection using the YOLO (You Only Look Once) algorithm, a state-of-the-art object detection model. …”
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Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments
Published 2018“…The fade transitions are detected based on the smoothed moments energy and the moments of gradients correlation for the candidate segments. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Early detection and mitigation of DDoS attacks in software defined networks
Published 2018“…To detect and mitigate this attack at its early stages, an entropy-based DDoS attack detection and mitigation algorithm was proposed. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2023Conference Paper -
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An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi
Published 2021“…The performance of the proposed method and other existing techniques (Genetic Algorithm, Artificial Immune System and Immune-Genetic Algorithm) were analysed to evaluate and determine its efficiency in terms of maximum intrusion detection rate and the highest true positive rate. …”
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Detection of energy theft and defective smart meters in smart grids using linear regression
Published 2017“…Simulations are conducted and the results show that the proposed algorithms can successfully detect all the fraudulent consumers and discover faulty smart meters in a neighborhood area network.…”
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…This model driven approach was integrated with the proposed infeasible path detection method which based on analyzing various OCL constructs and operations. …”
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