Search Results - (( basic evaluation method algorithm ) OR ( data verification using algorithm ))

Stroke-to-stroke matching in on-line signature verification by Ahmad Jaini, Azhar

“…On-line Signature Verification is a field of verifying the time series signature data that normally obtained from the tablet-based device. …”
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Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area by Lim , Yen Ruen

“…Cryptographic hash functions are generally the basis of a secure network and used for data integrity verification. Cryptographic hash functions carried out processes such as identity verification, file integrity checking, secure key passing, and source code version control. …”
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Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching by Ei Wei., Ting, M. Z., Ibrahim, D.J., Mulvaney

“…The Speeded-Up Robust Features (SURF) Algorithms is used to determine the interest points. …”
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Daily streamflow forecasting using simplified rule-based fuzzy logic system by Mohd Shafiek, Yaacob, Dr., Hishamuddin, Jamaluddin, Sobri, Harun

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Efficient Implementation of 2D Barcode Verification Algorithm for IoT Applications by Al-Ghaili A.M., Abdul Rahim F., Azman F., Kasim H.

Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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Data modification attacks protection using blockchain signing and verification process in bluetooth low energy network / Aiman Nurrasyid Shahrul Kamil by Shahrul Kamil, Aiman Nurrasyid

“…This research proposes some of the blockchain function which is signing and verification process on the BLE (Bluetooth Low Energy) network environment due the security issue on the BLE itself using three different hash algorithm MD5, SHA1 and SHA256. …”
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Signature verification system using support vector machine by Fauziyah, Salehuddin, Azlina , Othman

“…The common verification algorithm is one of the Global Feature Vector Machine called Support Vector Machine (SVM). …”
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Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan by Muhammad @ Atan, Nurmalessa

“…Two additional sites from T&C of the FiT scheme were used for the verification of the new developed FD algorithm. …”
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Intelligent biometric signature verification system incorporating neural network by Lim, Boon Han, Mailah, Musa

“…An intelligent feature of the system is made possible through the application of a multilayer feedforward neural network that is used together with suitable algorithms to complement the verification process. …”
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Daily streamflow forecasting using simplified rule-based fuzzy logic system by Yaacob, Mohd. Shafiek, Jamaluddin, Hishamuddin, Harun, Sobri

“…Verifications of the calibrated models were done using the data set of the following year. …”
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Dose verification procedures in radiotherapy by Zakaria, Ahmad, Idris, Nik Rusman Nik

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Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

“…There are many researchers used Data Encryption Standard (DES) Algorithm to implement in FPGAs. …”
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus by Darus, Zamzuhairi

“…Voltage stability margin (VSM) can be basically identified by the multi-solution load flow calculation method. …”
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A novel architecture to verify offline hand-written signatures using convolutional neural network by Alkaabi S., Yussof S., Almulla S., Al-Khateeb H., Alabdulsalam A.A.

Non-fiducial based ECG biometric authentication using one-class support vector machine by Hejazi, Maryamsadat, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari, Abdul Aziz, Ahmad Fazli, Singh, Yashwant Prasad

“…The experimental results show that Kernel Principal Component Analysis has lower error rate in binary and one-class SVMs on random unknown ECG data sets. Moreover, one-class SVM can be robust recognition algorithm for ECG biometric verification if the sufficient number of biometric samples is available.…”
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

“…In addition to the Arabic speech data that used in the original experiments, for both speaker dependant and speaker independent tests, more verification experiments were conducted using the TI20 speech data. …”
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Fake news detection: A machine learning approach by Yeoh, Dennis Guan Lee

“…The final model chosen to be deployed was a model trained using a Multinomial Naïve Bayes algorithm.…”
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Investigation of dimensionality reduction in a finger vein verification system by Ting, Ei Wei, M. Z., Ibrahim, Mulvaney, D. J.

“…A ‘speeded-up robust features’ algorithm was used to determine the key points of interest and the Euclidean Distance was used to estimate similarity between database images. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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