How blockchain improves the supply chain: Case study alimentary supply chain

R Casado-Vara, J Prieto, F De la Prieta… - Procedia computer …, 2018 - Elsevier
Current supply chain is a linear economy model that directly or indirectly fulfills supply
needs. But this model has some disadvantages, such as the relationships between the …

Smart distributed ledger technologies in Industry 4.0: Challenges and opportunities in supply chain management

G Epiphaniou, M Bottarelli, H Al-Khateeb… - … Defence in the Age of AI …, 2020 - Springer
The rise of new digital economies and data-driven supply-chains seeks to revolutionalise
the ways information is transferred, processed and analysed across different industry …

Artificial intelligence as a key driver of business operations transformation in the conditions of the digital economy

OI Maslak, MV Maslak, NY Grishko… - … on Modern Electrical …, 2021 - ieeexplore.ieee.org
In the modern conditions of the Fourth Industrial Revolution, while digital transformations are
affecting the economy, an unique opportunity to transform business operations as well as to …

Smart contract for monitoring and control of logistics activities: Pharmaceutical utilities case study

R Casado-Vara, A González-Briones, J Prieto… - … Joint Conference SOCO …, 2019 - Springer
Logistics services involve a wide range of transport operations between distributors and
clients. Currently, the large number of intermediaries are a challenge for this sector, as it …

Blockchain-based architecture for the control of logistics activities: Pharmaceutical utilities case study

Y Mezquita, R Casado-Vara… - Logic Journal of the …, 2021 - academic.oup.com
Logistics services involve a wide range of transport operations between distributors and
clients. Currently, the large number of intermediaries are a challenge for this sector, as it …

Mix-attention approximation for homogeneous large-scale multi-agent reinforcement learning

Y Shike, L Jingchen, S Haobin - Neural Computing and Applications, 2023 - Springer
In large-scale multi-agent environments with homogeneous agents, most works provided
approximation methods to simplify the interaction among agents. In this work, we propose a …

Towards the automatic identification and monitoring of radicalization activities in twitter

D López-Sáncez, J Revuelta, F de la Prieta… - … in Organizations: 13th …, 2018 - Springer
In the recent years, several terrorist groups have started to make an intensive use of the
Internet and various online social networks to spread their message and radicalize …

An energy-aware dynamic resource management technique using deep q-learning algorithm and joint VM and container consolidation approach for green computing …

N Gholipour, N Shoeibi, E Arianyan - Distributed Computing and Artificial …, 2021 - Springer
These days by a high increase in the amount of computation and big data gathering and
analysis, everybody needs more resources. Buying more computational and storage …

Deep symbolic learning and semantics for an explainable and ethical artificial intelligence

RS Alonso - Ambient Intelligence–Software and Applications: 11th …, 2021 - Springer
The main objective of this research is to investigate new hybrid neuro-symbolic algorithms
for the construction of an open-source Deep Symbolic Learning framework that allows the …

Virtual organization for fintech management

E Hernández, A González, B Pérez… - … Computing and Artificial …, 2019 - Springer
A review of the state of the art on Fintech and the most important innovations in the financial
technology is presented in this article. It is proposed a social computing platform based on …