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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 cryptography, cybersecurity, and artificial intelligence, with applications extending to fields such as telecommunications and smart networks. This collection showcases research activities developed by a new generation of mathematicians and computer scientists from Africa, Europe, Asia, and America.
Preface
Scientific Days of Doctoral School of Mathematics and Computer Sciences December 20, 21, 22 , 2023—UCAD, Dakar (Senegal)
Program Committee
Organization Committee
Invited Talks
Mathematics and Computer Science in the Information Revolution
NLP and Some Research Results in Senegal
Contributed Talks: Mathematics and Modeling
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
Contributed Talks: Computer Science and Telecommunications
Robustness of Imputation Methods with Backpropagation Algorithm in Nonlinear Multiple Regression
A Better Random Forest Classifier: Labels GuidedMondrian 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 At?
Business Process Management and Process Mining on the Large: Overview, Challenges, and Research Directions