Search Results - (( visualization deviation detection algorithm ) OR ( java segmentation using 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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Thesis -
2
Automated visual defect detection using deep learning
Published 2022“…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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3
Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…The whole system has been developed using Microsoft Visual C++ programming language. The system was founded to be able to detect faults and promptly diagnose them.…”
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4
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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5
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
6
Single-trial visual evoked potential extraction using partial least-squares-based approach
Published 2016“…The performance of the PLS has been evaluated mainly on the basis of latency error rate of the peaks for the artificialEEGsignal, and themean peak detection and standard deviation for the real EEG signal. …”
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7
Single-trial visual evoked potential extraction using partial least-squares-based approach
Published 2016“…The performance of the PLS has been evaluated mainly on the basis of latency error rate of the peaks for the artificialEEGsignal, and themean peak detection and standard deviation for the real EEG signal. …”
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8
Computer vision automation system for sorting partially overlapping tiles
Published 2019“…A texture feature extraction algorithm based on (standard deviation of intensities and entropy) were developed and compared in the third component to identify overturned tiles from white tiles. …”
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9
Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest
Published 2026“…This paper presents an unsupervised network-based anomaly detection framework that integrates deep autoencoders with the Isolation Forest algorithm. …”
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10
Permutation entropy based full-reference image quality qssessment
Published 2019“…Motivated by the need of appropriate objective models, we propose a novel objective IQA algorithm, namely, Permutation Entropy Deviation Index (PEDI), based on the working principle of permutation entropy (PE). …”
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Conference or Workshop Item -
11
An enhanced sequential exception technique for semantic-based text anomaly detection
Published 2019“…Text anomaly detection identifies deviating information from general information contained in documents. …”
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12
Network intrusion detection and alert system
Published 2024“…Signature-based detection compares network traffic packets with a real-time updated database of known attack patterns, while anomaly-based detection algorithms learn normal behavior patterns and identify deviations. …”
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Final Year Project / Dissertation / Thesis -
13
Hybrid Balance Artificial Potential Field Navigation System For An Autonomous Surface Vessel In Riverine Environment
Published 2019“…To evaluate the performance of the proposed method, the average and variance error deviation are calculated. The Euclidean distances of detected lines from ground truth are used to compare the accuracy of the proposed method. …”
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14
Near infrared palm image acquisition and two-finger valley point-based image extraction for palm vascular pattern detection
Published 2019“…In summary, vascular pattern can be detected visually from the palm image acquired by the NIR palm image acquisition device developed in this research.…”
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15
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…The algorithm gives a mean accuracy of 84% out of 125 test images.…”
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Final Year Project -
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Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation
Published 2013“…Current method of detection includes periodic visual inspection based on the symptoms of the disease which often shows up at the later stage of the disease infection and consequent laboratory analysis for confirmation. …”
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18
Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm
Published 2018“…This study evaluated the use of insitu and remote sensors to early detect the Ganoderma infected oil palms before the visual symptoms are manifested (mildly infected). …”
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