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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., ...
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. ...
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 ...
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 ...
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 ...
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 ...