Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- INESC TEC
- Universidade de Coimbra
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centro de Computação Grafica
- FCiências.ID
- ISCTE - Instituto Universitário de Lisboa
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Instituto Politécnico de Beja
- Instituto Superior de Engenharia do Porto
- Instituto de Telecomunicações
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Nova School of Business and Economics
- Universidade Nova de Lisboa
- University of Trás-os-Montes and Alto Douro
- 4 more »
- « less
-
Field
-
algorithms on these types of platforms, fed back by visual information. 2. Testing and validating the automatic loading management system implemented in Droneport. Improving this system if necessary. 3
-
intelligence algorithms, with the aim of increasing the efficiency, quality, and sustainability of the production process. V - Initial grant duration: 6 months V.I - Renewal Possibility: Possibily renewable VI
-
foundation supports a novel alignment algorithm that quantifies inconsistencies, offers actionable compliance scores, and exposes bottlenecks across control-flow, data, and resource dimensions. By enriching
-
Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 8 days ago
of the encoded information resorting to cryptographic methodologies. The work plan for Research Line 1 then comprises the following tasks: Literature review Study of the algorithms created in the Lab for smart
-
, ensuring the quality and consistency of the datasets used.; 2) Development and implementation of computer vision algorithms for detecting and analyzing RBD-specific behaviors in vPSG videos. 3) Integration
-
potential research topics to improve the project results. Research topics may include interventions in public services, labor markets, marketing, and digital platforms, using large-scale data and algorithmic
-
sequencing, proteomics, and metabolomics; interpretation of datasets and clinical data using advanced statistical methods and machine learning algorithms to identify correlations between molecular alterations