Search Results - adaptive testing difference ((generation algorithm) OR (detection algorithm))
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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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Proceeding Paper -
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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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3
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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Thesis -
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Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar
Published 2012“…Lightning strikes model as in PSCAD library have been adapted to generate impulsive transient in this research. …”
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5
Adaptive filtering of EEG/ERP through bounded range artificial Bee Colony (BR-ABC) algorithm
Published 2014“…ERP generated due to hand movement is filtered through Adaptive Noise Canceller (ANC) from the EEG signals. …”
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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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Thesis -
7
Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm
Published 2019“…The adaptive sampling technique is used for the data generation due to its flexibility where it generates samples according to the non-linearity of the regions in the design space. …”
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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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Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail
Published 2015“…Therefore, adjustment for suitable rates is important. Adaptive mechanism adapts the best parameters of current generation for optimum performance in the next generation. …”
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Thesis -
11
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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Thesis -
13
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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Thesis -
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
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Thesis -
15
An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation
Published 2017“…Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), Cuckoo Search (CS), Particle Swarm Optimization (PSO), and Harmony Search (HS). …”
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Multiple-hybrid case-based reasoning approach for university course timetabling problem
Published 2015“…The proposed CBR algorithm is tested with the database of Faculty of Computer Science and Information Technology for the past five years compared with Genetic Algorithm (GA). …”
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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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Thesis -
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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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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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Thesis -
20
An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The evaluation results showed that the Improved AKF algorithm achieved better compression ratio and retained sufficient information in the extracted action key frames under different testing video shots. …”
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