Publications (172)
ARTICLE
Implementation of E-health in Burkina Faso: A Status Report
Sadouanouan Malo, Lydie Simone Kone/Tapsoba, Yaya Traoré
The term e-health refers to all areas where information and communication technologies (ICT) are used for health. E-health appears more and more as a relevant solution to meet the challenges health systems are facing. However, despite its interest, e-health has long remained underexploited in Burkina Faso even if many softwares have been the s(...)
Interoperability, Hospital information system, Ontology, Web service
ARTICLE
Dynamiques d’intégration intercommunautaire et construction de l’Etat-nation au Burkina Faso
Missa Millogo
Cet article analyse les dynamiques d’intégration intercommunautaire dans l’espace du Burkina Faso. Il
examine la nature des rapports qui sous-tendent ce mouvement dans l’évolution politique du pays depuis
1945 avec l’adoption du système représentatif. Il se fonde sur une question fondamentale : dans quelles
mesures les différentes dynami(...)
Etat-nation, Burkina Faso, dynamique, intégration, communauté
COMMUNICATION
Towards an Ontology-Based Cotton Phytosanitary Surveillance System: A Case Study in Côte D’Ivoire
Kouaho N'Guessan Narcisse Tehia, Sadouanouan Malo, A. Kouamé, Malanno Kouakou, K. Bini, O. G. Ochou
Cotton cultivation in the Côte d’Ivoire is subject to enormous pressure from pests. This situation has important consequences on the yield of this crop. To improve yield, a strategy based on phytosanitary surveillance has been elaborated by the National Agronomic Research Center (CNRA). In this paper, we propose a digital solution for the impl(...)
Phytosanitary surveillance , Model driven engineering , Ontology, Ontology learning, Cotton crop
ARTICLE
INFLUENCE DU CONTEXTE D’HABITATION SUR LA DISTRIBUTION SPATIO-TEMPORELLE DES CAS DE MENINGITE DANS LA REGION DE LA BOUCLE DU MOUHOUN, BURKINA FASO
BADOLO Alain, TRAORÉ Issouf, MALO Sadouanouan et OUÉDRAOGO François de Charles.
This study aims to provide a description and analysis of environmental and climatic risk factors linked to the spatio-temporal distribution of meningitis cases in the Boucle du Mouhoun Region, Burkina Faso. The methodological approach integrates meningitis nosology data aggregated at the municipal level, climatic data from meteorological stati(...)
Environment, Climate, Health,Meningitis, Burkina Faso
ARTICLE
Renormalized solutions for convection-diffusion problems involving a nonlocal operator
Adama Ouédraogo, Dofyniwassouani Alain Houede, Idrissa Ibrango
The aim of this paper is to establish an L1-well-posedness theory
in the sense of renormalized entropy solution for anisotropic diffusion-
convection problems involving a nonlocal diffusion operator. Our strategy
is to follow the approach developed in Bendahmane and Karlsen (SIAM
J Math Anal, 36(2):405–422, 2004) to generalize the existenc(...)
existence and uniqueness of solutions
COMMUNICATION
Cashew Trees Detection And Yield Analysis Using UAV-Based Map
Sadouanouan Malo, Thierry Roger Bayala, Issouf Ouattara, A. Visala
In this study we developed a novel method to detect cashew trees in an orthophoto map derived from images collected by an unmanned aerial vehicle (UAV). We also suggest a way in which these detections can be used to analyze the yield of the cashew farm. The proposed method uses image analysis to find the tops of trees, to merge different tops(...)
Deep learning, Image segmentation, Image analysis, Unmanned aerial vehicles, Agriculture, UAV, Cashew Plant Detection
COMMUNICATION
Extraction of events and qualitative data from texts for the monitoring of infectious diseases: case of meningitis and COVID-19
Sadouanouan Malo, Julie Thiombiano, Yaya Traoré
For decades, infectious diseases have been claiming many victims around the world. Even today, despite technology and scientific advances, these diseases are still topical, evolving in the form of outbreaks that wreak havoc and take doctors and public health professionals by surprise. Discovered and treated in time can prevent possible epidemi(...)
COVID-19, Machine learning algorithms, Infectious diseases, Pandemics, Ontologies, Event Extraction, NLP, Meningitis, Artificial Intelligence
COMMUNICATION
IA et Afrique : quel développement ?
Didier Bassolé, Claude Lishou, Sadouanouan Malo, Sere Abdoulaye, Yaya Traore, Alain Mille
Artificial intelligence is developing in Africa in a specific cultural, economic and social context. In this article we specify the impact of this context, analyze the conditions of the emergence of an African AI. In close connection with the institutional initiatives, we propose a bottom-up dynamic associating training, research and innovatio(...)
Intelligence Artificielle, Afrique, Développement
ARTICLE
Characterization of Robust Solution Quadratically Constrained Quadratic Optimization Problem Subjected to Data Uncertainty
Moussa Barro, Satafa Sanogo, Mohamed Zongo, Sado Traoré
Robust Optimization (RO) arises in two stages of optimization, first level for maximizing over the uncertain data and second level for minimizing over the feasible set. It is the most suitable mathematical optimization procedure to solve real-life problem models. In the present work, we characterize robust solutions for both homogeneous and no(...)
robust optimization, data uncertainty, robust solutions, two-stage optimization
ARTICLE
Global optimality condition for quadratic optimization problems under data uncertainty
Moussa Barro, Ali Ouedraogo, Sado Traoré
In this paper, we establish a robust version of the S-lemma that we use to characterize robust solutions for classes of homogeneous and non-homogeneous quadratic problems with a quadratic inequality constraint under interval uncertainty and a linear equality constraint. Necessary and sufficient conditions of global optimality of robust solutio(...)
global optimality conditions, quadratic programming, data uncertainty, interval uncertainty, quadratic inequality constraints, linear equality constraints, robust solutions
AUTRE
A NLP-Based System for Meningitis Corpus Annotation
Bayala Thierry Roger, Sadouanouan Malo
Labeling dataset remains one of the big challenges for machine learning practitioners in developing countries especially those in Africa. Indeed, the effectiveness of machine learning models depends on the volume of training data available. The more the training dataset is huge, the more the models are effective. In this paper, we present a NL(...)
meningitis, corpus annotation, linguistic features, rule-based annotation, training data labeling, artificial neural network classification
ARTICLE
A temperature-dependent mathematical model of malaria transmission with stage-structured mosquito population dynamics
Bakary Traoré, Moussa Barro, Boureima Sangaré, Sado Traoré
Abstract In this paper, we formulate a temperature-dependent model for malaria transmission dynamics which includes immature stages of mosquitoes. The model is constructed by using ordinary differential equations with some parameters which are periodic functions. Two thresholds dynamics associated to the model have been derived: the vector rep(...)
malaria transmission, mosquito population dynamics, stage-structured population model, temperature dependence, periodic coefficients, basic reproduction number, disease-free equilibrium, global attractivity, disease persistence, positive periodic solutions, ordinary differential equations, Malaria basic reproduction ratio vector reproduction ratio persistence global stability periodic solution MSC 34D20 34D23 34D45 37C75, Malaria, Basic reproduction ratio, Vector reproduction ratio, Persistence, Global stability, Periodic solution MSC 34D20, 34D23, 34D45, 37C75
COMMUNICATION
Semantic annotation of resources based on ontologies:application to a knowledge sharing platform on meningitis
Julie Thiombiano, Yaya Traoré, Sadouanouan Malo, Patrice Koassa, O. Sié
Semantic annotation of resources with ontologies plays a decisive role for semantic search, interoperability and data integration. In this paper, we focus on semi-automated web page annotation for a meningitis knowledge sharing platform. This web page annotation refers to the introduction of categories on a page or a set of tags on a page. Thu(...)
Knowledge engineering, Semantic Web, Annotations, Semantic search, Ontologies, E-Health, Meningitis, Ontology, Semantic wiki
COMMUNICATION
Fuzzy logic approach for knowledge modeling in an Ontology: A review
Abdoul Azize Kindo, Guidedi Kaladzavi, Sadouanouan Malo, Gaoussou Camara, T. Tapsoba, Kolyang
Fuzzy logic is an extension of Boolean logic created by Lotfi Zadeh in 1965 based on his mathematical theory of fuzzy sets, which is a generalization of classical set theory. By introducing the notion of degree or possibility, fuzzy logic confers very appreciable flexibility to the reasoning, which uses it, which makes it possible to take into(...)
Fuzzy logic, Fuzzy sets, Uncertainty, OWL, Ontologies, Cognition, knowledge representation, Fuzzy, ontology, OWL, approximate reasoning, SWRL
AUTRE
Extraction of Relevant Data from Social Media Based on Termino-Ontological Resources: Application to Meningitis Surveillance via Twitter
Wend-Panga Régis Cédric Bere, Gaoussou Camara, Sadouanouan Malo, Sylvie Despres, Moussa Lo, Stanislas Ouaro
In this paper, we present a process for collecting and filtering relevant data for epidemiological surveillance of meningitis. We focus on the African meningitis belt stretching from Senegal to Ethiopia. This study aims to fill the data gap for the early detection of epidemics based on the analysis of social media. Our approach is based on pre(...)
Ontology, SKOS Resource, Social media, Epidemic, intelligence ,Meningitis