The agreement with FACEPE - Fundação de Amparo à Ciência e Tecnologia de Pernambuco aims to support research among researchers from Pernambuco and São Paulo, on global climate change matters.
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Fundação de Amparo à Ciência e Tecnologia de Pernambuco (FACEPE)
- Fonds de Recherche du Québec (FRQ)
- Centro para el Desarrollo Tecnológico Industrial (CDTI)
- Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)
- Danish Agency for Science and Higher Education
- Duke University
- Equinor (former Statoil)
- EU-CELAC IG (former ERA.Net - LAC)
- EU-LIFE
- Global Alliance for Chronic Diseases (GACD)
- Global Research Collaboration for Infectious Disease Preparedness (GloPID-R)
- Grupo São Martinho
- INCOBRA
- See more FAPESP Cooperation Partnerships and Agreements
Research grants
- Chicken egg quality prediction using ovoscopy, depth sensing, computed tomography, computer vision and machine learning, AP.R
Abstract
Artificial intelligence applied to machine learning can be used to optimize the evaluation of consumer eggs. The objective of this project will be to predict egg quality based on attributes related to eggshell and freshness using measurements obtained by candling, depth sensing and computed tomography, associated with computer vision and machine learning techniques. A total of 1,000 white…
- Integrated production of biodiesel and bioactive compounds from microalgae biomass employing ethanol plant wastewater, AP.R
Abstract
Diversifying the energy matrix for the development of a sustainable model represents an important strategy for the development of a country. Brazil is the second biggest bioethanol producer worldwide, generating high amount of CO2 and vinasse as byproducts. The vinasse may be treated by anaerobic bio-digestion, releasing CH4 (methane), which is considered a renewable energy in the emergin…
- IsoProb - geographical assignment systems of criminal traces based on spatial machine learning and isotopic modeling, AP.R
Abstract
It is expected that an efficient isotopic geographic origin attribution model (MIAR) is one that presents a structure based on (I) a geographically comprehensive and structured database, (II) that has as input base information that encompass local, global and spatially dependent variations, (III) that present isoscapes built both on more accurate "machine learning" (ML) techniques and tha…
(Only some records are available in English at this moment)
- Computational and systems neuroscience, AP.R
Abstract
This project aims to support and consolidate the collaborative research between the Physics Department of theUniversidade Federal de Pernambuco (DF-UFPE, Recife), the Physics Department of FFCLRP of the Universidadede São Paulo (USP, Ribeirão Preto), and the Center for Mathematics, Computation and Cognition from Universidade Federal do ABC (UFABC, São Bernardo do Campo, SP). The research …
- Entanglement by four wave mixing in atomic media, AP.R
Abstract
Parametric amplification is a powerful tool for the generation of entangled and squeezed states of the electromagnetic field. A revival of the interest for these states came on the last decade thanks to their potential applications in quantum information, with the use of cluster states for information processing.On the other hand, high levels of squeezing are on the verge of their applica…
- The specific deletion of CLK2 in GABA neurons: the impact on feeding behavior and energy metabolism in mice, AP.R
Abstract
Obesity has been exponentially increasing in the last decades, making urgent to understand the underlying mechanisms contributing to its development, maintenance and associated comorbidities. The maintenance of energetic homeostasis is under the control of endocrine hormones and neural signals. The hormones, insulin and leptin, are the most investigated in central energy regulation, as we…
(Only some records are available in English at this moment)
Total / Available in English
| 5 / 5 | Ongoing research grants |
| 10 / 8 | Completed research grants |
| 7 / 0 | Completed scholarships in Brazil |
| 22 / 13 | All research grants and scholarships |
| Associated processes | |
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