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A Novel Fingerprint Biometric Cryptosystem Based on Convolutional Neural Networks
(Basel, Switzerland : MDPI, 2021)
Modern access controls employ biometrics as a means of authentication to a great extent.
For example, biometrics is used as an authentication mechanism implemented on commercial devices
such as smartphones and laptops. ...
The Nullity, Rank, and Invertibility of Linear Combinations of k-Potent Matrices
(Basel : MDPI, 2020)
Baksalary et al. (Linear Algebra Appl., doi:10.1016/j.laa.2004.02.025, 2004) investigated the invertibility of a linear combination of idempotent matrices. This result was improved by Koliha et al. (Linear Algebra Appl., ...
Zero-and-One Integer-Valued AR(1) Time Series with Power Series Innovations and Probability Generating Function Estimation Approach
(Basel : MDPI, 2023)
Zero-and-one inflated count time series have only recently become the subject of more extensive interest and research. One of the possible approaches is represented by first-order, nonnegative, integer-valued autoregressive ...
Asymptotic Properties and Application of GSB Process : A Case Study of the COVID‐19 Dynamics in Serbia
(Basel, Switzerland : MDPI, 2022)
This paper describes one of the non-linear (and non-stationary) stochastic models, the GSB (Gaussian, or Generalized, Split-BREAK) process, which is used in the analysis of time series with pronounced and accentuated ...
Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach
(Basel : MDPI, 2020)
The main motivation to conduct the study presented in this paper was the fact that due to the development of improved solutions for prediction risk of bleeding and thus a faster and more accurate diagnosis of complications ...
One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education
(Basel : MDPI, 2022)
In this paper, one multidisciplinary-applicable aggregated model has been proposed and verified. This model uses traditional techniques, on the one hand, and algorithms of machine learning as modern techniques, on the other ...