Search Results - adaptive regional differences ((selection algorithm) OR (detection algorithm))

Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction by Abd Razak, Siti Safwana

“…Comparison of this framework continue in some of the state-of-the-arts algorithm in the literature and the results is outperformed based on the proposed algorithm experimental result.…”
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Damageless Digital Watermarking Using Complex-valued Artificial Neural Network by Olanweraju, Rashidah Funke

“…The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped to the mid frequency of selected coefficients. …”
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Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network by Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

“…The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped to the mid frequency of selected coefficients. …”
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Damageless digital watermarking using complex-valued artificial neural network by Olanweraju, Rashidah Funke, Ali Aburas, Abdurazzag, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

“…The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped to the mid frequency of selected coeffi cients. …”
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Reactive approach for automating exploration and exploitation in ant colony optimization by Allwawi, Rafid Sagban Abbood

“…The third component is the ACO-based adaptive parameter selection algorithm to solve the parameterization problem which relies on quality, exploration and unified criteria in assigning rewards to promising parameters. …”
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Boundary extraction of abnormality region in breast mammography image using active contours by Mohd Ghani, Noor Ain Syazwani, Jumaat, Abdul Kadir, Mahmud, Rozi

“…Thus, the aim of this study is to modify the PDSS model to extract the boundary of abnormality region in mammography images. The modification is made by considering three different image enhancement algorithms which are histogram equalization, histogram stretching and adaptive histogram equalization as the new fitting terms in the PDSS model and these results in three variants of modified PDSS models termed as PDSS1, PDSS2 and PDSS3 respectively. …”
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Boundary extraction of abnormality region in breast mammography image using active contours / Noor Ain Syazwani Mohd Ghani, Abdul Kadir Jumaat and Rozi Mahmud by Mohd Ghani, Noor Ain Syazwani, Jumaat, Abdul Kadir, Mahmud, Rozi

“…Thus, the aim of this study is to modify the PDSS model to extract the boundary of abnormality region in mammography images. The modification is made by considering three different image enhancement algorithms which are histogram equalization, histogram stretching and adaptive histogram equalization as the new fitting terms in the PDSS model and these results in three variants of modified PDSS models termed as PDSS1, PDSS2 and PDSS3 respectively. …”
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Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique by Mharib, Ahmed M.

“…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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An adaptive face recognition under constrained environment for smartphone database by Hassan, Noor Amjed

“…In addition, this study aims to improve the performance of the face recognition method under the effect of different optical zooms by detecting the normalised facial feature region using the proposed facial feature region normalisation method. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM by MOHAMED ELTOUKHY, MOHAMED MESELHY

“…Subsequently, a region growing algorithm was used to locate the pectoral muscle and suppress it from the breast. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…In our method, we select data that are located in untrained or “not well-learned” region and discard data at trained or “well-learned” region. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan by Ullah, S., Daud, H., Dass, S.C., Hadi, F.-T., Khalil, A.

“…However, the main problem with the EigenSpot method is that it cannot be adapted to detect more than one spatiotemporal hotspot. …”
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features by Khalid, Fatimah, Amjeed, Noor, O.K. Wirza, Rahmita Wirza, Madzin, Hizmawati, Azizan, Illiana

“…The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. …”
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Speed sensorless control of permanent magnet synchronous motor using model reference adaptive system and artificial neural network / Abdul Mu’iz Nazelan by Nazelan, Abdul Mu’iz

“…In this study, eight (8) different conditions have been selected to evaluate the performance of the proposed controller by manipulating the speed region and motor load of the PMSM. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

“…The application of FES optimized by GA on regionalization creates opportunities for further researches which utilizes different types of optimization like Ant Colony Optimization (ACO), ANN’s, Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA).…”
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Exploring Text Recognition Segmentation and Detection in Natural Scene Images by Wydyanto, ., Maria, Ulfa

“…This paper aims to provide a comprehensive review of the latest algorithms for text detection, segmentation, and recognition from natural scene images. …”
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Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis by Ahmad Izzuddin, Tarmizi, Mat Safri, Norlaili, Othman, Mohd Afzan

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Block multistep methods for solving first order retarded and neutral delay differential equations by Abdul Aziz, Nurul Huda

“…There are two strategies that have been implemented in the numerical solutions which are the variable step size and the variable step size and variable order. In the developed algorithm, a Newton divided difference interpolation has been used in approximating a non-vanishing delay, whilst a new approach that is based on an adaptation of predictor-corrector scheme has been used to handle the vanishing delay problems. …”
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Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications by Mohd Ijam, Hazizah

“…The classes have the advantage of producing a different set of formulas that possess A-stability properties by selecting the ρ value within the interval (-1,1). …”
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