Zobrazeno 1 - 10
of 14 369
pro vyhledávání: '"A. Dia"'
Autor:
M. Jolivet, O. Dauteuil, A. Dia, M. Davranche, A.‐C. Pierson‐Wickmann, L. Barrier, M. Murray‐Hudson, Nashaat Mazrui, R. Marsac, Feng Cheng, Xiangzhong Li
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 24, Iss 6, Pp n/a-n/a (2023)
Abstract The Okavango Delta in North Botswana is a hot‐spot of biodiversity within the semi‐arid central part of the South African plateau. This endorheic ecosystem is highly dependent on the annual flood that brings freshwater from the highlands
Externí odkaz:
https://doaj.org/article/6fe376dc3ea4455aadb33d8b74062444
Traffic flow forecasting is a crucial task in intelligent transport systems. Deep learning offers an effective solution, capturing complex patterns in time-series traffic flow data to enable the accurate prediction. However, deep learning models are
Externí odkaz:
http://arxiv.org/abs/2411.03588
Autor:
A. Padane, A. Kanteh, N. Leye, A. Mboup, J. Manneh, M. Mbow, P.A. Diaw, B.P. Ndiaye, G. Lo, C.I. Lo, A. Ahoudi, A. Gueye-Gaye, J.J.N. Malomar, A. Dia, Y.A. Dia, N.D. Diagne, D. Wade, A.K. Sesay, N.C. Toure-Kane, U. Dalessandro, S. Mboup
Publikováno v:
New Microbes and New Infections, Vol 41, Iss , Pp 100877- (2021)
Externí odkaz:
https://doaj.org/article/ef6fa241403c4562990ed64ae16ec1e1
Publikováno v:
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (2023) 700-705
Post-traumatic stress disorder (PTSD) is a mental disorder that can be developed after witnessing or experiencing extremely traumatic events. PTSD can affect anyone, regardless of ethnicity, or culture. An estimated one in every eleven people will ex
Externí odkaz:
http://arxiv.org/abs/2403.19441
Autor:
Dia, Ben Mansour, Fehler, Michael, Kaka, SanLinn I., Scarinci, Andrea, Waheed, Umair bin, Gu, Chen
We address an optimal sensor placement problem through Bayesian experimental design for seismic full waveform inversion for the recovery of the associated moment tensor. The objective is that of optimally choosing the location of the sensors (station
Externí odkaz:
http://arxiv.org/abs/2403.01403
Autor:
O. Dauteuil, M. Jolivet, A. Dia, M. Murray‐Hudson, K. Makati, L. Barrier, M. Bouhnik Le Coz, A. Audran, A. Radenac
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 22, Iss 5, Pp n/a-n/a (2021)
Abstract The Okavango Delta in northern Botswana is an endorheic ecosystem formed by 150,000 islands surrounded by a flood plain. The vegetation of these islands displays an external tree ring enclosing a barren interior domain with evaporitic deposi
Externí odkaz:
https://doaj.org/article/d55aa4a9bcda4cffa765a3c11603da6b
Traffic incident detection plays a key role in intelligent transportation systems, which has gained great attention in transport engineering. In the past, traditional machine learning (ML) based detection methods achieved good performance under a cen
Externí odkaz:
http://arxiv.org/abs/2402.18167
Autor:
Da Costa, Dia
Publikováno v:
RACAR: revue d'art canadienne / Canadian Art Review, 2024 Apr 01. 49(1), 138-141.
Externí odkaz:
https://www.jstor.org/stable/48791079
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Autor:
Wang, Bo, Qin, A. K., Shafiei, Sajjad, Dia, Hussein, Mihaita, Adriana-Simona, Grzybowska, Hanna
Physics-informed neural networks (PINNs) are a newly emerging research frontier in machine learning, which incorporate certain physical laws that govern a given data set, e.g., those described by partial differential equations (PDEs), into the traini
Externí odkaz:
http://arxiv.org/abs/2307.03920
Machine learning systems such as large scale recommendation systems or natural language processing systems are usually trained on billions of training points and are associated with hundreds of billions or trillions of parameters. Improving the learn
Externí odkaz:
http://arxiv.org/abs/2305.16094