Search Results - adaptive testing difference ((electron algorithm) OR (detection algorithm))
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New CFAR algorithm and circuit development for radar receiver
Published 2020“…All these algorithms are simulated using MATLAB and applied them to three different clutter models that represent different environment cases. …”
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Towards real-time visual biometric authentication using human face for healthcare telepresence mobile robots
Published 2016“…The biometric system proposed with hybrid algorithm at each module adapts for face images detected at different distances, poses and lighting condition. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor
Published 2019“…This new speed sensorless control is based on model reference adaptive system (MRAS) with a new adaptation scheme. …”
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Adaptive sine-cosine algorithms for global optimization
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The noise reduction algorithm for star detection
Published 2025“…To validate the algorithm, synthetic star images with different noise levels were tested. …”
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Observer-based fault detection with fuzzy variable gains and its application to industrial servo system
Published 2020“…The proposed fault detection algorithm employs a fuzzy logic-based approach with the objective of finding the appropriate observer gains that could cope with the different working conditions. …”
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…The Man-Whitney U test is then performed to statistically evaluate the significance difference of the second rank and FESSIC algorithms. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Samples data were recorded in the morning before food intake and two hours after food intake using four MQ 2, MQ 5, MQ 6 and MQ 8 sensors, in previously built Electronic Nose prototype system. A 5-fold cross-validation testing was implemented for classification results analysis. …”
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Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique
Published 2007“…The results show that when processing images of different people taken in different imaging conditions, the use of only one single threshold value is not adapted, and since the proposed method is capable of adaptively adjusting its threshold values and effectively separating skin colour regions from non skin ones, it is applicable to images with various conditions. …”
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Detection of hemorrhage and exudates in retinal fundus image of diabetic patients
Published 2016“…It is a public database for benchmarking diabetic retinopathy detection from digital images. By using this database and the defined testing protocol, the results between different methods can be compared. …”
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Undergraduates Project Papers -
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Development of intrusion detection system using residual feedforward neural network algorithm
Published 2022“…Additionally, the suggested algorithm is highly adaptable and straightforward to accommodate different types of intrusion. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…Main results: Our algorithm achieved an overall accuracy of 91.5% ± 2.9%, with a sensitivity of 94.1% ± 2.7% and a specificity of 89.7% ± 5.1%, when tested on our own data. …”
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Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli
Published 2022“…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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