Applications of blockchain in unmanned aerial vehicles: A review

T Alladi, V Chamola, N Sahu, M Guizani - Vehicular Communications, 2020 - Elsevier
The recent advancement in Unmanned Aerial Vehicles (UAVs) in terms of manufacturing
processes, and communication and networking technology has led to a rise in their usage in …

The promise and perils of using artificial intelligence to fight corruption

N Köbis, C Starke, I Rahwan - Nature Machine Intelligence, 2022 - nature.com
Corruption presents one of the biggest challenges of our time, and much hope is placed in
artificial intelligence (AI) to combat it. Although the growing number of AI-based anti …

A survey on recent optimal techniques for securing unmanned aerial vehicles applications

F Syed, SK Gupta, S Hamood Alsamhi… - Transactions on …, 2021 - Wiley Online Library
Unmanned aerial vehicles (UAVs) or Drones technology has a huge potential for supporting
different efficient solutions for the smart applications in our world. The applications include …

Dynamic consent management for clinical trials via private blockchain technology

G Albanese, JP Calbimonte, M Schumacher… - Journal of ambient …, 2020 - Springer
Clinical trials (CTs) are essential for the advancement of medical research, paving the way
for the development and adoption of new treatments, and contributing to the evolution of …

Trusted AI in multiagent systems: An overview of privacy and security for distributed learning

C Ma, J Li, K Wei, B Liu, M Ding, L Yuan… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …

The quest of parsimonious XAI: A human-agent architecture for explanation formulation

Y Mualla, I Tchappi, T Kampik, A Najjar, D Calvaresi… - Artificial intelligence, 2022 - Elsevier
With the widespread use of Artificial Intelligence (AI), understanding the behavior of
intelligent agents and robots is crucial to guarantee successful human-agent collaboration …

Drones and blockchain integration to manage forest fires in remote regions

D Mahmudnia, M Arashpour, Y Bai, H Feng - Drones, 2022 - mdpi.com
Central management of fire stations and traditional optimization strategies are vulnerable to
response time, a single point of failure, workload balancing, and cost problems. This is …

Explainable artificial intelligence for developing smart cities solutions

D Thakker, BK Mishra, A Abdullatif, S Mazumdar… - Smart Cities, 2020 - mdpi.com
Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions,
Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best …

[HTML][HTML] Robust integration of blockchain and explainable federated learning for automated credit scoring

Z Jovanovic, Z Hou, K Biswas, V Muthukkumarasamy - Computer Networks, 2024 - Elsevier
This article examines the integration of blockchain, eXplainable Artificial Intelligence (XAI),
especially in the context of federated learning, for credit scoring in financial sectors to …

Directions for explainable knowledge-enabled systems

S Chari, DM Gruen, O Seneviratne… - Knowledge graphs for …, 2020 - ebooks.iospress.nl
Interest in the field of Explainable Artificial Intelligence has been growing for decades, and
has accelerated recently. As Artificial Intelligence models have become more complex, and …