Zobrazeno 1 - 10
of 11 282
pro vyhledávání: '"IBRAHIMA, A."'
AI deployed in many real-world use cases should be capable of adapting to novelties encountered after deployment. Here, we consider a challenging, under-explored and realistic continual adaptation problem: a deployed AI agent is continuously provided
Externí odkaz:
http://arxiv.org/abs/2412.09701
We argue that topological operators for continuous symmetries written in terms of currents need regularization, which effectively gives them a small but finite width. The regulated operator is a finite tension object which fluctuates. In the zero-wid
Externí odkaz:
http://arxiv.org/abs/2411.08858
Autor:
Gottfrois, Philippe, Gröger, Fabian, Andriambololoniaina, Faly Herizo, Amruthalingam, Ludovic, Gonzalez-Jimenez, Alvaro, Hsu, Christophe, Kessy, Agnes, Lionetti, Simone, Mavura, Daudi, Ng'ambi, Wingston, Ngongonda, Dingase Faith, Pouly, Marc, Rakotoarisaona, Mendrika Fifaliana, Rabenja, Fahafahantsoa Rapelanoro, Traoré, Ibrahima, Navarini, Alexander A.
Publikováno v:
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024, MICCAI 2024, Lecture Notes in Computer Science, vol. 15003, Springer, Cham
Africa faces a huge shortage of dermatologists, with less than one per million people. This is in stark contrast to the high demand for dermatologic care, with 80% of the paediatric population suffering from largely untreated skin conditions. The int
Externí odkaz:
http://arxiv.org/abs/2411.04584
Autor:
Dione, Ibrahima
When solving rank-deficient or discrete ill-posed problems by regularization methods, the choice of the regularization parameter is crucial. It is also of interest, the regularization norm used in the selection of the solution. In this work, we propo
Externí odkaz:
http://arxiv.org/abs/2410.22169
With rapid advancements in exoskeleton hardware technologies, successful assessment and accurate control remain challenging. This study introduces a modular sensor-based system to enhance biomechanical evaluation and control in lower-limb exoskeleton
Externí odkaz:
http://arxiv.org/abs/2409.01174
Autor:
Ahmad, Alwani Liyana, Sanchez-Bornot, Jose, Sotero, Roberto C., Coyle, Damien, Idris, Zamzuri, Faye, Ibrahima
MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify changes in brain activity at various Alzheimer stages, including preclin
Externí odkaz:
http://arxiv.org/abs/2408.04815
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment
Autor:
Ahmad, Alwani Liyana, Sanchez-Bornot, Jose, Sotero, Roberto C., Coyle, Damien, Idris, Zamzuri, Faye, Ibrahima
Alzheimer Disease poses a significant challenge, necessitating early detection for effective intervention. MRI is a key neuroimaging tool due to its ease of use and cost effectiveness. This study analyzes machine learning methods for MRI based biomar
Externí odkaz:
http://arxiv.org/abs/2407.00040
We present a fast trajectory optimization algorithm for the soft capture of uncooperative tumbling space objects. Our algorithm generates safe, dynamically feasible, and minimum-fuel trajectories for a six-degree-of-freedom servicing spacecraft to ac
Externí odkaz:
http://arxiv.org/abs/2405.00867
Autor:
Sougou, Ndèye M., Diedhiou, Adams, Diallo, Amadou I., Diongue, Fatoumata B., Ndiaye, Ibrahima, Ba, Mouhamadou F., Ndiaye, Sokhna, Mbaye, Serigne M., Samb, Oumar M., Faye, Adama
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Aug 01. 28, 99-106.
Externí odkaz:
https://www.jstor.org/stable/27332723
Autor:
Diongue, Fatoumata Binetou, Diallo, Amadou Ibra, Sougou, Ndèye Marème, Ba, Mouhamadou Faly, Ndiaye, Ibrahima, Ndiaye, Mayacine, Ndiaye, Sokhna, Samb, Oumar Mallé, Mbaye, Serigne Mor, Faye, Adama
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Aug 01. 28, 163-175.
Externí odkaz:
https://www.jstor.org/stable/27332731