63 documents found, page 1 of 7
Providing a greater precision of situational awareness of urban floods through ...
Ueyama, Jó
Exploiting smart contracts in PBFT-based blockchains: a case study in medical p...
Ueyama, Jó
A blockchain-based protocol for tracking user access to shared medical imaging
Ueyama, Jó
A river flooding detection system based on deep learning and computer vision
Ueyama, Jó
A blockchain-based data governance with privacy and provenance: a case study fo...
Ueyama, Jó
Towards a decentralized e-prescription system using smart contracts
Ueyama, Jó
Tracing the emotional roadmap of depressive users on social media through seque...
Ueyama, Jó
Modeling and assessing the temporal behavior of emotional and depressive user i...
Ueyama, Jó
Memory-based pruning of deep neural networks for IoT devices applied to flood d...
Ueyama, Jó
A Mechanism for Verifying the Integrity and Immutability of Tuberculosis Data U...
Lima, Vinícius; Bernardi, Filipe; Rijo, Rui; Ueyama, Jó; Alves, DomingosBackground: Intensified research and innovation and rapid uptake of new tools, interventions, and strategies are crucial to fight Tuberculosis, the world's deadliest infectious disease. The sharing of health data remains a significant challenge. Data consumers must be able to verify the consistency and integrity of data. Solutions based on distributed ledger technologies may be adequate, where each member in a ...