Objectives Canine leishmaniasis poses a concern for both veterinary and public health. Current data clearly indicate the absence of a gold standard method for detecting Leishmania infections in asymptomatic dogs, highlighting the need for improved diagnostic tests....
Objectives The industrial PhD project aims to develop new chemoresistive sensors with enhanced stability, selectivity, and ultralow power consumption. To this end, new gas sensitive materials will be synthesized and fully characterised (morphology, composition and gas...
Objectives Develop and implement an IoT processing platform based on RISC-V for digital health applications, optimized for low power consumption and high performance. This includes the development of innovative HW accelerators and advanced algorithms. AI-based EDA...
A digital twin of a hybrid battery pack will be developed to facilitate the transition from BMS to Digital BMS, with the ability to process more data and utilize complex models for accurate estimations and predictions of battery status. Objectives The main objective...
The research focuses on managing and processing data collected from the battery to enhance its operation through advanced algorithms. The application of digital environments combined with artificial intelligence systems will provide much greater battery management...
