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Tiago M. Fernández-Caramés

Researcher at University of A Coruña

Publications -  94
Citations -  5059

Tiago M. Fernández-Caramés is an academic researcher from University of A Coruña. The author has contributed to research in topics: Cloud computing & Industry 4.0. The author has an hindex of 30, co-authored 88 publications receiving 3104 citations.

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A Review on the Use of Blockchain for the Internet of Things

TL;DR: A thorough review on how to adapt blockchain to the specific needs of IoT in order to develop Blockchain-based IoT (BIoT) applications is presented and some recommendations are enumerated with the aim of guiding future BIoT researchers and developers on some of the issues that will have to be tackled before deploying the next generation of BIeT applications.
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A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard

TL;DR: An IAR system architecture that combines cloudlets and fog computing, which reduce latency response and accelerate rendering tasks while offloading compute intensive tasks from the cloud is proposed.
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A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories

TL;DR: In this article, the benefits and challenges that arise when using blockchain and smart contracts to develop Industry 4.0 applications have been analyzed, and a thorough review of the most relevant blockchain-based applications for Industry 5.0 technologies has been presented.
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A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry

TL;DR: The article describes the most relevant use cases, since the broad adoption of blockchain unlocks a wide area of short- and medium-term promising automotive applications that can create new business models and even disrupt the car-sharing economy as the authors know it.
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Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks

TL;DR: Current state of the art on post-quantum cryptosystems and how they can be applied to blockchains and DLTs are studied, as well as their main challenges.