Search Results - adaptive testing difference ((selection algorithm) OR (detection algorithm))
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1
Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…The Friedman test result is presented for the performance rank of six benchmark feature selection algorithms and FESSIC algorithm. …”
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Thesis -
2
An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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3
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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4
Structural health monitoring using adaptive wavelet functions / Seyed Hossein Mahdavi
Published 2016“…For the experimental validation, three test setups were conducted for identification and damage detection, including two different MDOF systems and a 2-dimentional truss structure. …”
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5
A Scheme For Space-Time-Frequency Coding And Adaptive Multiple Antenna Selection For Improving The Performance Of Multiple-Input Single-Output Ofdm System
Published 2006“…Realizing that ST and SF behave differently in different environments, a new adaptive spatial mode (ASM)-OFDM is proposed. …”
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6
Cardiac abnormality prediction using tansig based multilayer perceptron
Published 2021“…In this study, ANN will be trained for pre-testing to predict the cardiac abnormalities symptom based on selected reference parameters. …”
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7
Adaptive filtering of EEG/ERP through bounded range artificial Bee Colony (BR-ABC) algorithm
Published 2014“…In this paper, the Artificial Bee Colony (ABC) algorithm is applied to construct Adaptive Noise Canceller (ANC) for electroencephalogram (EEG)/Event Related Potential (ERP) filtering with modified range selection, described as Bounded Range ABC (BR-ABC). …”
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8
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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9
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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10
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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11
Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar
Published 2012“…The SVM results show that RBF kernel is superior to linear kernel in classifying the transient with average percentage of 83% This research has also proved that SVM has higher performance than the backpropagation algorithm of the ANN.…”
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12
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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Proceeding Paper -
13
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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14
An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation
Published 2017“…This paper describes our experience with four hyper-heuristic selection and acceptance mechanisms namely Exponential Monte Carlo with counter (EMCQ), Choice Function (CF), Improvement Selection Rules (ISR), and newly developed Fuzzy Inference Selection (FIS), using the t-way test generation problem as a case study. …”
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15
Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…Thus, in this thesis, a new Smart Energy Meter (SEM) with adaptive data transfer algorithm is designed to accommodate the problem. …”
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16
An adaptive face recognition under constrained environment for smartphone database
Published 2018“…In addition, using data from smartphone devices introduces a new challenge, namely, different optical zooms. This problem affects the accuracy of face recognition systems when the test and gallery images of the same person differ in terms of face-to-camera distance. …”
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17
Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail
Published 2015“…The novelty of the research is a hybrid GA-NN model with new adaptive mechanism, along with contributions of reduction in experimental time and costs for MDF testing.…”
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18
Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…In the related literature, GUI test generation tools focus on generating tests and exploring app functions using different approaches. …”
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19
COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM
Published 2011“…Throughout the thesis all proposed methods and algorithms have been applied with both curvelet and wavelet for comparison and statistical tests were also performed. …”
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20
Securing Data Using Deep Hiding Selected The Least Significant Bit And Adaptive Swarm Algorithm
Published 2024journal::journal article
