Search Results - (( process verification method algorithm ) OR ( data distribution function algorithm ))

Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin by Shamsudin, Farah Syadiyah

“…There will be two processes involved, which are feature extraction using minutiae-based method and also the implementation of the proposed algorithm, CSA. …”
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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

“…This paper will compare the performance of finger vein verification system with PCA and without PCA. There is no acquisition process in this paper as we used an open source finger-vein database called SDMULA-HMT. …”
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An efficient technique for human verification using finger stripes geometry by Rahman, Md. Arafatur, Azad, Md. Saiful, Anwar, Farhat

“…Finger stripe geometry is a new biometric type in verification process. This finger stripe based verification consists of two main attributes, feature extraction by image processing and feature learning by ANN (Artificial Neural Network). …”
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An image-based children age range verification and classification based on facial features angle distribution and face shape elliptical ratio by Razalli, Husniza, Rahmat, Rahmita Wirza O. K, Khalid, Fatimah, Sulaiman, Puteri Suhaiza

“…The method consists of two main stages; the process to distinguish children from adult based on input facial image and the process to verify children age range. …”
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Back end process yield improvement by verification of seeder bulk erase quality for 3.5" reowrk hard disk drive by Saidin, Mohamad Fadli

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Non-fiducial based electrocardiogram biometrics with kernel methods by Hejazi, Maryamsadat

“…At classification level, Gaussian multi-class Support Vector Machine (SVM) with the One-Against-All (OAA) approach is proposed to evaluate verification performance rates of the feature extraction algorithms. …”
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Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

“…Traditional methods of fingerprint verification uses either complicated feature detection algorithms that are not specific to each fingerprint, or compare two fingerprint images directly using image processing toots. …”
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Enhanced Cuckoo Search Algorithm With Metaheuristic Components For Extracting The Maxima Of The Orientation Distribution Function by Shehab, Mohammad Mohammad Said

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Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm by Suparman, S., Rusiman, Mohd Saifullah

“…In the hierarchical Bayesian approach, the order and coefficients of the autoregressive model are assumed to have a prior distribution. The prior distribution is combined with the likelihood function to obtain a posterior distribution. …”
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A new encryption scheme method (ESM) using capsulated-layers conception for verified QR-tag for IoT-based smart access systems by Al-Ghaili A.M., Kasim H., Othman M., Hassan Z.

“…In order to use this QR-tag as a secret key with IoT-based systems, a three Processes Verification Algorithm (3PVA) has been proposed to verify QR-tag values. …”

Enhanced face recognition using discrete cosine transform by Fatma Susilawati, Mohamad, Mustafa, Mamat, Zahraddeen, Sufyanu

“…In signal processing, important information is mainly required and processed. …”
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An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf by Yusuf, Yusmardiah

“…Then, it is tested on the FPGA using the properties of hardware co-simulation method. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm and compared against the manual calculation.…”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

“…Thereafter, a multi-objective hybrid algorithm (MOHA), an extension of the self-adaptive hybrid algorithm is proposed and tested on the established multi-objective (MO) test functions. …”
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Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah by Abdullah, Muhammad Arif Musa

“…The results involve the verification of the proposed method and mathematical example using three (3) prime numbers. …”
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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. These sites are in the Peninsular of Malaysia. …”
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A new Gompertz-three-parameter-lindley distribution for modeling survival time data by Liang, Fei, Lu, Hezhi, Xi, Yuhang

“…The statistical properties of the proposed distribution including the shape properties, cumulative distribution, quantile functions, moment generating function, failure rate function, mean residual function, and stochastic orders are studied. …”
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Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft by Salvinder Singh, Karam Singh, Shahrum, Abdullah, Nik Abdullah, Nik Mohamed

“…The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…The main contribution of this research is developing statistical approaches, and introducing new algorithms and resampling methods for analysing interval-censored data through AFT models.…”
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Slice sampler algorithm for generalized pareto distribution by Rostami, Mohammad, Adam, Mohd Bakri, Yahya, Mohamed Hisham, Ibrahim, Noor Akma

“…In this paper, we developed the slice sampler algorithm for the generalized Pareto distribution (GPD) model. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

“…In order to evaluate the scalability at specific data size the appropriate regression models are fitted through the measured data as functions of number of workers. …”
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