3 documents found, page 1 of 1
A data-driven intelligent decision support system that combines predictive and ...
Ribeiro, Rui; Pilastri, Andre; Moura, Carla; Morgado, Jose; Cortez, PauloIn this paper, we propose an Intelligent Decision Support System (IDSS) for the design of new textile fabrics. The IDSS uses predictive analytics to estimate fabric properties (e.g., elasticity) and composition values (% cotton) and then prescriptive techniques to optimize the fabric design inputs that feed the predictive models (e.g., types of yarns used). Using thousands of data records from a Portuguese text...
International revenue share fraud prediction on the 5G edge using federated lea...
Ferreira, Luís Fernando Faria; Silva, Leopoldo; Morais, Francisco; Martins, Carlos Manuel; Pires, Pedro Miguel; Rodrigues, Helena; Cortez, PauloEdge computing and multi-access edge computing (MEC) are two recent paradigms of distributed computing that are growing due to the rise of the fifth-generation (5G) of broadband cellular networks. The development of edge computing and MEC architectures involves the hosting of applications close to the end-users, allowing: an improved privacy, given that critical data is not shared with other systems; a reduced ...
A Deep Learning approach to prevent problematic movements of industrial workers...
Fernandes, Cristiana; Matos, Luís Miguel; Folgado, Duarte; Nunes, Maria Lua; Pereira, Joao Rui; Pilastri, Andre; Cortez, PauloNowadays, manufacturing industries still face difficulties applying traditional Work-related MusculoSkeletal Disorders (WMSDs) risk assessment methods due to the high effort required by a continuous data collection when using observational methods. An interesting solution is to adopt Inertial Measurement Units (IMUs) to automate the data collection, thus supporting occupational health professionals. In this pap...