47 citations · 93 across the 13 of their papers we have counts for
16 papers
Economic resources, sporting efficiency and uncertainty: a stochastic optimization model of football performance in Africa
Thierno Thioune, Babacar Mbaye Ndiaye
We propose a stochastic optimization framework in which football performance is modeled as the result of an efficiency-driven production process under uncertainty. The model incorp…
Planning electric bus systems with solar photovoltaic integration using open transit data: A case study of the Dakar BRT
Jérémy Dumoulin, Cheikh Mouhamed Fadel Kebe, Babacar M. Ndiaye +3
Electrification of urban bus systems is expected to accelerate due to its clear environmental benefits. However, effective electric bus deployment requires planning tools that can…
A convex numerical scheme for the Evans-Gangbo transport-density system, in one, two, and three dimensions
Babacar Mbaye Ndiaye, Diaraf Seck
We give a constructive numerical treatment of Monge's optimal transport problem in 1D, 2D, 3D, following Evans-Gangbo: the map is built from a Kantorovich potential and density…
Stochastic inflows and seasonal water value at Manantali
Steeven B. Affognon, Babacar M. Ndiaye, Pierre Mendy +4
Seasonal hydropower operation requires release decisions that account for uncertain future inflows and the opportunity cost of stored water. We assess the Modelling and Optimisatio…
InFlow: entropic stochastic dual dynamic programming with HJB cross-certification for seasonal energy storage
Steeven B. Affognona, Babacar M. Ndiaye, Pierre Mendy +1
Seasonal reservoir operation requires optimization methods that remain reliable under strongly periodic and uncertain inflow dynamics. We present InFlow, a verification-oriented fr…
From Daily Fluctuations to Annual Hydrological Cycles: A Wavelet-Based Analysis of Nonstationary Seasonality in Senegal River Hydropower Inflows
Steeven B. Affognon, Babacar M. Ndiaye, Pierre Mendy +1
This study presents a reproducible framework combining Fourier and wavelet analysis to examine the seasonality of daily inflows at three sites on the Senegal River (Bafing Makana,…
Mobility-based Traffic Forecasting in a Multimodal Transport System
Henock M. Mboko, Mouhamadou A. M. T. Balde, Babacar M. Ndiaye
We study the analysis of all the movements of the population on the basis of their mobility from one node to another, to observe, measure, and predict the impact of traffic accordi…
An optimal control study for a two-strain SEIR epidemic model with saturated incidence rates and treatment
Karam Allali, Mouhamadou A. M. T. Balde, Babacar M. Ndiaye
This work will study an optimal control problem describing the two-strain SEIR epidemic model. The studied model is in the form of six nonlinear differential equations illustrating…
The Wade Formula and the oil price fluctuation: An Optimal Control Theory approach
Pierre Mendy, Babacar M. Ndiaye, Diaraf Seck +1
By considering the Wade Formula, we propose a model to study the evolution of the oil price per barrel. Our model shows that the policy of diversification of the energy is to be su…
Analysis of COVID-19 evolution in Senegal: impact of health care capacity
Mouhamed M. Fall, Babacar M. Ndiaye, Ousmane Seydi +1
We consider a compartmental model from which we incorporate a time-dependent health care capacity having a logistic growth. This allows us to take into account the Senegalese autho…
Logistic growth model and modeling of factors for community case transmission
Massamba Diouf, Babacar Mbaye Ndiaye
In this article, we analyze the spread of cases resulting from community transmission of COVID-19 in Senegal in order to identify statistical associations. The identification and k…
Visualization and machine learning for forecasting of COVID-19 in Senegal
Babacar Mbaye Ndiaye, Mouhamadou A. M. T. Balde, Diaraf Seck
In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data. On July 15, 2020, Senegal reopened its…
Impact of contamination factors on the COVID-19 evolution in Senegal
Vieux Medoune Ndiaye, Serigne Omar Sarr, Babacar Mbaye Ndiaye
In this article, we perform an analysis of COVID-19 on one of the South Saharan countries (hot zone), the Senegal (West Africa). Many questions remain unanswered: why the African c…
Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning
Mouhamadou A. M. T. Balde, Coura Balde, Babacar M. Ndiaye
In this paper, we deal with the study of the impact of nationwide measures COVID-19 anti-pandemic. We drive two processes to analyze COVID-19 data considering measures. We associat…
Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models
Babacar Mbaye Ndiaye, Lena Tendeng, Diaraf Seck
In this paper, we propose a machine learning technics and SIR models (deterministic and stochastic cases) with numerical approximations to predict the number of cases infected with…
Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting
Babacar Mbaye Ndiaye, Lena Tendeng, Diaraf Seck
This work is a trial in which we propose SIR model and machine learning tools to analyze the coronavirus pandemic in the real world. Based on the public data from \cite{datahub}, w…