Mathematics of Computer Science, Cybersecurity and Artificial Intelligence 5th Scientific Days of Doctoral School of Mathematics and Computer Sciences (S2DSMCS), Dakar, Senegal, December 20–22, 2023 /
This proceedings book gathers selected, peer-reviewed papers presented at the Fifth Scientific Days of the Doctoral School of Mathematics and Computer Sciences - S2DSMCS, held from December 20–22, 2023, at Cheikh Anta Diop University in Dakar, Senegal. The cutting-edge works cover timely topics in c...
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| Další autoři: | , , |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Vydání: | 1st ed. 2024. |
| Edice: | Springer Proceedings in Mathematics & Statistics,
468 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-66222-5 |
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Obsah:
- - Mathematics and computer science in the information revolution
- NLP and some research results in Senegal
- On absolute valued algebras with nonzero central element
- On algebraic algebras without divisors of zero satisfying (xp, xq, xr) = 0
- Computing minimal free resolutions over monomial semirings with coefficients in D-A rings
- Schur complement and inequalities of eigenvalues on block Hadamard product
- A perturbed Mann-type algorithm for zeros of maximal monotone mappings
- On Rickart and Baer semimodules
- Completion fractions modules of filtered modules over non-necessarily commutative filtered rings
- On S-lifting semimodules over semirings
- A contribution to the study of a class of noncommutative ideals admitting finite Gröbner bases
- Construction of numbers with the same “normality” properties as a given number. - Robustness of imputation methods with backpropagation algorithm in nonlinear multiple regression
- A better random forest classifier: Labels guided Mondrian forest
- Remote sensing of artisanal mines buried in the ground by infrared thermography using UAV
- Implementation of EdDSA in the Ethereum blockchain
- Vulnerability prediction of web applications from source code based on machine learning and deep learning: Where are we at?
- Business process management and process mining on the large: Overview, challenges and research directions.