D.D Soft & Tech
  • Home
  • Artificial Intelligence & Data science
  • Software and platform
  • Research
  • Teaching and Course
Publications update on March 20, 2020
  • Publications
  • Applied neural network and machine learning field: Diouf Daouda, Carlos Mejia and Djibril Seck (2020). “Soil Moisture Prediction Model from ERA5-Land Parameters using a Deep Neural Networks”. Science and Technology Publications (2020), Volume 1, ISBN 978-989-758-475-6, pages 389-395 DOI: 10.5220/0010106703890395 Diouf Daouda, Thiria Sylvie, Niang Awa, Brajard Julien, & Crepin Michel (2019). “A Spatial and Temporal Analysis of Atmospherics Parameters Retrieved by a Neuro-varationnal Method off the West African Coast”. Journal of Geography, Environment and Earth Science International, 23(4), 1-14. ISSN: 2454-7352. https://doi.org/10.9734/jgeesi/2019/v23i430177 Daouda DIOUF and Djibril Seck, “Modeling the Chlorophyll-a from Sea Surface Reflectance in West Africa by Deep Learning Methods: A Comparison of Multiple Algorithms”. International Journal of Artificial Intelligence & Applications (IJAIA) Vol.10, No.6, November 2019, DOI: 10.5121/ijaia.2019.10603, ISSN: 0976-2191, Publisher: Academy & Industry Research Collaboration Center (AIRCC) Daouda DIOUF, Awa Niang and Sylvie Thiria, “Deep Learning based Multiple Regression to Predict Total Column Water Vapor (TCWV) from Physical Parameters in West Africa by using Keras Library” International Journal of Data Mining & Knowledge Management Process (IJDKP), Vol.9, No.6, November 2019, DOI:10.5121/ijdkp.2019.9602, e-ISSN:2230-9608 - ISSN: 2231-007X, Publisher: Academy & Industry Research Collaboration Center (AIRCC) Daouda Diouf, Awa Niang, Julien Brajard, Salam Sawadogo, Michel Crepon and Sylvie Thiria. “Spatial distribution of aerosol optical thickness retrieved from SeaWiFS images by a neural network inversion over the west african coast”. "Aerosols - Science and Case Studies", book edited by Konstantin Volkov, ISBN 978-953-51-2844-1, Print ISBN 978-953-51-2843-4, published: December 28, 2016, INTECH. Farikou O. , S. Sawadogo, A. Niang, D. Diouf, J. Brajard, C. Mejia, Y. Dandonneau, G. Gasc, M. Crépon, S. Thiria. “Inferring the seasonal evolution of phytoplankton groups in the Senegalo-Mauritanian upwelling region from satellite ocean-color spectral measurements.” Journal of Geophysical Research: Oceans, Online ISSN: 2169-9291, Volume 120, Issue 9, doi:10.1002/2015JC010738. Pages 6581–6601 (2015). D. Diouf, A. Niang, J. Brajard, M. Crepon and S. Thiria “Retrieving aerosol characteristics and sea-surface chlorophyll from satellite ocean color multi-spectral sensors using a neural-variational method.” Remote Sensing of Environment, Volume 130, 15 March 2013, Pages 74-86. DOI:10.1016/j.rse.2012.11.002 (2013) Daouda Diouf, Sylvie Thiria, Awa Niang, Julien Brajard & Michel Crepon. “Retrieving aerosol characteristics from satellite ocean color multi-spectral sensors using a neural-variational method.” Neural Computation Theory and Application, ISBN: 978-989-8425-84-3, Science and Technology Publications, pp. 297-303 DOI: 10.5220/0003638802970303 (2011) Daouda Diouf, Awa Niang, Sylvie Thiria, Julien Brajard, Michel Crepon & Salam Sawadogo. “Monitoring aerosol optical thickness and chlorophyll-a to the West Africa coast using a neural-variational method.” Journal des Sciences Pour l’Ingénieur, Vol. 13, pp. 46-51 (2011) Bioinformatics/biomechanics field:: Daouda Diouf, Djibril Seck, Mountaga Diop & Abdoulye Ba (2019).” Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes”, CEUR-WS, ISSN: 1613-0073, ONLINE: http://ceur-ws.org/Vol-2647/paper10.pdf, URN: urn:nbn:de:0074-2647-1,Volume 2647, 2020, Pages 128-140 Seck Djibril, Diouf Daouda, Mbagnick Senghor, Amadou Diouf & Mountaga Diop (2019). “Modèles mathématiques d’estimation et de prediction de la capacité de la performance au 10 km d’EIFFAGE Dakar”, J. Rech. Sci. Univ. Lomé (Togo), Spécial 2019, 21(4) : 55-61 Djibril Seck, Daouda Diouf, Ibrahima Ndiaye, “Study of Some Performance Factors in Long Distance Race for Senegalese Runners using Matlab and Kinovea”, International Journal of Science and Research (IJSR), DOI:10.21275/23197064, ISSN:2319-7064, https://www.ijsr.net/archive/v8i10/show_abstract.php?id=ART20201780, Volume 8 Issue 10, October 2019, 685– 689
  • Conferences
  • Daouda Diouf, Djibril Seck, Abdoulaye Ba, Mountaga Diop and Codé Ba “Deep learning and decision support algorithm in medical imaging: case study of the recognition of blood cell subtypes”. International Conference « Centenaire de la faculté de Médecine, de pharmacie et d’odonto-Stomatologies », du 1er au 6 Décembre 2018, Dakar Correa Khassoum., Machu Eric, Diouf Daouda. “Distribution and biomass of phytoplankton over the Senegalese shelf : a need for regional ocean colour algorithm”. International conference ICAWA 2016, Dakar (Senegal) Brajard Julien, Diouf Daouda, Brehmer Patrice, Crépon Michel, Lazar Alban, Machu Eric, Thiria Sylvie and Capet, Xavier. “Determination of chlorophyll-a concentration under desertic dust.” EGU General Assembly 2015, held 12-17 April, 2015 in Vienna, Austria. id.10632 Julien Brajard, Daouda Diouf, Michel Crépon, and Sylvie Thiria “Atmospheric correction for ocean colour images using a classification and a neuro-variational algorithm.” Oral Communication, EGU, Ocean Remote Sensing, Vol. 15, Vienna, Austria. (2013). J. Brajard, D. Diouf, H. S. Benavides Pinjosovsky, M. Crépon, R. Santer and S. Thiria. “Neural-variational inversion applied to ocean color remote sensing.” Oral Communication, 92nd American Meteorological Society Annual Meeting, 22-26 January, 2012, New Orleans. Daouda Diouf, Julien Brajard, Awa Niang, Michel Crépon & Sylvie Thiria. “Atmospheric correction and chlorophyll-a restitution in presence of Saharan dusts.” Poster, EGU, Ocean Sciences meeting, Vol. 13, Vienna, Austria. (2011)
Daouda Diouf (blog soft & tech)
© Copyright ©