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MJ Mathematics & Computer Science

MJ-Mathematics and Computer Science (MJ-MCS) provides an advanced forum on all aspects of Mathematics and computer Sciences. MJ-MCS is an open access with a fair, transparent and constructive peer review process.

Editor In Chief

Pr. Abboubakar Hamadjam

Aim And Scope

Aim

MJ-Mathematics and Computer Science provides an advanced forum on all aspects of Mathematics and computer Sciences. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the maximum length of the papers. A submission must be well written and of interest to a substantial number of mathematicians and scientists.

Scope

The journal covers all aspects of Mathematics and Computer Science. Main topics include, but are not limited to the following:

  •     Algebraic geometry
  •     Algebraic topology
  •     Algorithms
  •     Analysis of PDEs
  •     Applied mathematics
  •     Artificial intelligence and mathematics
  •     Category theory
  •     Classical analysis and ODEs
  •     Combinatorics
  •     Commutative algebra
  •     Complex variables
  •     Computational mathematics
  •     Decision theory and decision analysis
  •     Differential geometry
  •     Dynamical systems
  •     Engineering mathematics
  •     Equations and inequalities
  •     Functional analysis
  •     Fuzzy sets and systems
  •     Game theory
  •     General mathematics
  •     General topology
  •     Geometric topology and analysis
  •     Group theory
  •     Harmonic analysis
  •     History and overview
  •     Information theory
  •     Interdisciplinary mathematics
  •     K-theory and homology
  •     Logic
  •     Machine learning and data mining
  •     Mathematical and computational biology
  •     Mathematical finance
  •     Mathematical modeling
  •     Mathematical physics
  •     Metric geometry
  •     Network science
  •     Number theory
  •     Numerical analysis
  •     Operator algebras
  •     Optimization and control
  •     Polynomials
  •     Probability and statistics
  •     Quantum algebra
  •     Quantum theory
  •     Representation theory
  •     Rings and algebra
  •     Simulation
  •     Spectral theory
  •     Stochastic process and uncertainty
  •     Symplectic geometry
  •     Variational problems

Editorial Board

Editorial board

Pr. Ado Adamou ABBA ARI,  Department of Mathematics and Computer Science, Faculty of Science, University of Maroua, Maroua, Cameroon

Pr. Rashid JAN, Department of Civil Engineering, Institute of Energy Infrastructure (IEI); College of Engineering, Universiti Tenaga Nasional (UNITEN)

Pr. Léontine Nkague Nkamba, Higher Teacher Training College, Department of Mathematics, University of Yaoundé I, Yaoundé, Cameroon; Deustotech Laboratory Chair of Computational Mathematics, University of Deusto, Bilbao, Spain

Pr Kpoumié Moussa El-Khalil, Department of Applied mathématics and computer science, School of geology and engineering mining, Bp115 , Meiganga, Cameroon

Dr. Pushpendra Kumar, Division of Electronic Engineering, Jeonbuk National University, South Korea

Dr. Ashraf Adnan Thirthar, Department of Studies and Planning, University of Fallujah, Anbar-Iraq

Dr. Albert Kouchéré Guidzavai, Department of Mathematics, Faculty of Science, The University of Yaounde I, P. O. Box 812, Yaounde, Cameroon

Dr Fritz Mbounja Béssémè, Department of Applied mathematics and computer science, School of geology and engineering mining, Bp115 , Meiganga, Cameroon

Mfenjou Martin Luther, Department of Applied mathematics and computer science, School of geology and engineering mining, Bp115 , Meiganga, Cameroon

Latest Articles

Predicting the spread of Chikungunya using an ensemble regression approach: A case study of Chad, Brazil and Paraguay

by Mohamed El Bachir¹, Ebenezer Maka Maka²˒³, Yannick Malong²˒³, Benjamin Garga⁴, Daouda Hassana Daouda¹, Hamadjam Abboubakar³˒⁵*
The Chikungunya virus, primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes, poses a growing global public health challenge due to its debilitating symptoms and rapid spread. Recent outbreaks in Southeast Asia, South America, and Central and East Africa highlight the difficulty of accurately predicting epidemics, given the complex interactions among environmental, climatic, and biological factors. Traditional epidemiological surveillance systems often remain insufficient for early outbreak detection. This study applies advanced machine learning techniques, specifically ensemble regression, to develop predictive models of Chikungunya epidemics in Chad, Brazil, and Paraguay. Random Forest and XGBoost regressors optimized via Grid Search are combined within a Voting Regressor ensemble framework. The ensemble model demonstrated superior […] Read more at https://mjcellpress.com/article/mjmcs03/

Mathematical modeling of SARS-CoV-2 (COVID-19) pandemic in Cameroon accounting the role of boosted immune systems

by Albert Kouchéré Guidzavaï¹, Joseph Yangla², Hamadjam Abboubakar³⁴*, Gnodandi Kaakréo², Rubin Fandio⁵, Irépran Damakoa².
This study proposes and analyzes a mathematical model for the transmission dynamics of COVID-19, explicitly accounting for the ability of the immune system in some individuals to eliminate the virus before they become infectious. A compartmental Susceptible–Exposed–Asymptomatic–Symptomatic–Hospitalized–Recovered (SEAIHR) model is formulated using both classical integer-order derivatives and Caputo fractional-order derivatives. The model is first examined by establishing the positivity and boundedness of solutions, followed by the computation of the basic reproduction number R0. The existence of equilibrium points is proven, and the asymptotic stability of the disease-free equilibrium is analyzed when […] Read more at https://mjcellpress.com/article/mjmcs02/

Mathematical modeling of the Cholera epidemic in Cameroon: From classical-order derivative to fractional-order derivative

by Rubin Fandio¹, Hamadjam Abboubakar¹²³⁴*, Sylvain Ardo Gouroudja Banbeto³, Henri Paul Ekobena Fouda¹.
Cholera is a diarrheal disease that was declared a pandemic in 2010, highlighting its reemergence. Southeast Asia and Africa remain at the greatest risk of widespread transmission. The purpose of this study is to develop and analyze a cholera model that incorporates both integer- and fractional-order derivatives in the Caputo sense. After formulating the model, we demonstrate the existence and uniqueness of its solution. We then identify the cholera-free equilibrium point and establish its local and global asymptotic stability whenever the epidemiological threshold Rc is less than one (Rc < 1). Using real data, we calibrate the model through parameter estimation and forecasting. With the estimated parameters, we observe that […] Read more at https://mjcellpress.com/article/mjmcs01/
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