Search Results - (( data optimization method algorithm ) OR ( automatic detection techniques algorithm ))
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The second contribution of this thesis is developing an accurate search-based test data generator for generating automatically optimal test data to satisfy the whole constraints in the path. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
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Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…The role of intelligence techniques is becoming more significant in detecting and diagnosis of medical data. …”
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Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…To realize this, automatic cropping algorithm is developed to detect the region of interest and interpret the Ga value. …”
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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
Published 2017“…Two back-propagation training algorithms, namely the Levenberg–Marquardt and Bayesian regularization algorithms, and the k-fold cross-validation technique, were employed to train the optimal networks using a training data set. …”
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Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data
Published 2019“…The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. …”
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A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping
Published 2014“…An ensemble algorithm of data mining decision tree (DT)-based CHi-squared Automatic Interaction Detection (CHAID) is widely used for prediction analysis in variety of applications. …”
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Automated fault detection and extraction under gas chimneys using hybrid discontinuity attributes
Published 2021“…This innovative workflow generates optimized discontinuity volumes for fault detection and automatic extraction. …”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010“…For this purpose, two algorithm are has been developed to automatically detect the OC and IC. …”
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Feature-based face recognition system using utilized artificial neural network
Published 2010“…A proposed algorithm which combines RGB color map and corner detection techniques will detect the mouth corners. …”
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Automatic target detection using wavelet technique in forward scattering radar
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Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Published 2021“…FID3 algorithm combined the fuzzy system and decision tree techniques with ID3 algorithm as the decision tree learning. …”
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The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
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Red blood cell image enhancement techniques for cells with overlapping condition
Published 2017“…This paper proposes an automatic algorithm consists of techniques that can separate overlapping RBC for enhancing RBC image to improve counting precision. …”
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Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
Published 2009“…Finally, an algorithm for an automatic detection of the ground target detection in FSR is proposed.…”
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Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid
Published 2020“…However, the most difficulties are to develop a method to detect, extract and count trees automatically from the image. …”
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