Volume 5, Number 1 (2020)
Year Launched: 2016
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SCIREA Journal of Mathematics — Open Access Journal

SCIREA Journal of Mathematics is an international, scientific peer-reviewed open access journal published online by SCIREA.

Open Access free for readers, with article processing charges (APC) paid by authors or their institutions.

High visibility: Indexed in the Google Scholar and other databases.

Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 20 days after submission; acceptance to publication is undertaken in 5 days.

Recognition of reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any SCIREA journal, in appreciation of the work done.

Latest Articles
Open Access
Zhu Rong Rong
Abstract: Background The twin prime conjecture is considered as a classic puzzle in the history of number theory and one of the most famous conjectures, which has always puzzled us. At the International Congress of Mathematicians in 1900, mathematician David Hilbert presented 23 important mathematical problems and conjectures [...] Read more.
Abstract      ReferencesPDF (473 K)   February 10, 2020     8 Downloads    343 Views
Open Access
H.-Q. Liu
Abstract: A counterexample is given in Complex analysis. [...] Read more.
Abstract      ReferencesPDF (358 K)   December 22, 2019     14 Downloads    350 Views
Open Access
Hamza ZEMRANE, Youssef BADDI, Abderrahim HASBI
Abstract: The development of Smart Cities that know our word today depends on the development of the IoT, in this context IoT are applied to develop and optimize may current and future sectors of activities like: health care, home automation, transportation, public services and others. The major issues of safety and comfort in trad [...] Read more.
Abstract      ReferencesPDF (1269 K)   December 19, 2019     15 Downloads    184 Views
Open Access
Bohdan Chapaliuk, Yuriy Zaychenko
Abstract: Lung cancer is one of the most aggressive types of cancer, and the possibility to detect it at an early stage can save a lot of patient lives worldwide. Building an automated lung cancer detection system can help to speed up the process of cancer detection and save human lives. This article considers three different approac [...] Read more.
Abstract      ReferencesPDF (459 K)   November 7, 2019     16 Downloads    779 Views
Open Access
Serge PERRINE
Abstract: A Pell Fermat equation and its two classes of solutions are discussed. We give a formula for the pairs of positive solutions, written with the Pell numbers, and some new identities involving these numbers. We build an invariant modulo 4 for each class of solutions. [...] Read more.
Abstract      ReferencesPDF (312 K)   November 4, 2019     11 Downloads    863 Views
Open Access
Ahmed N. K. Alfarra, Hui Xiaofeng, Ehsan Chitsaz, Jaleel Ahmed
Abstract: In this paper, we investigate the countercyclical buffer addressed in the Basel III framework. The ‘countercyclical buffer ‘targets at the extenuation of the supposedly harmful behavior of bank capital. The size of the buffer after the stepwise growths during the application stage finally reaches 2.5%. Therefore, the presen [...] Read more.
Abstract      ReferencesPDF (235 K)   August 19, 2019     28 Downloads    989 Views
Open Access
D.G. Zaccari, C.J. AlturriaLanzardo, J.E. Pérez, J.C. Cesco
Abstract: In this paper, we present two new approximants for the Error Function. The starting point for obtaining them, is to use two alternative integral representations involving improper integrals. Both integrands include the function. Therefore, by replacing by its truncated Taylor's expansion, we obtain a rational approximan [...] Read more.
Abstract      ReferencesPDF (310 K)   August 5, 2019     42 Downloads    920 Views
Open Access
Fang-Ming Hsu, Chien-Ho Liao, Qian-Feng Liu
Abstract: Earning profit is always the paramount issue for investors. Many factors have been proved to affect stock returns, although information uncertainty is rarely discussed. This study examines how the effect of investors’ sentiments on stock returns and trading volumes is moderated by information uncertainty. Text mining techno [...] Read more.
Abstract      ReferencesPDF (421 K)   July 15, 2019     54 Downloads    1046 Views
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