Blockchain for AI: Review and open research challenges

K Salah, MHU Rehman, N Nizamuddin… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, artificial intelligence (AI) and blockchain have become two of the most trending
and disruptive technologies. Blockchain technology has the ability to automate payment in …

Systematic review on ai-blockchain based e-healthcare records management systems

A Haddad, MH Habaebi, MR Islam, NF Hasbullah… - IEEE …, 2022 - ieeexplore.ieee.org
Electronic health records (EHRs) are digitally saved health records that provide information
about a person's health. EHRs are generally shared among healthcare stakeholders, and …

Artificial intelligence in industrial design: A semi-automated literature survey

YP Tsang, CKM Lee - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
In the era of industry 4.0, artificial intelligence (AI) may potentially be used to provide
reasoning and decision support on engineering and technical challenges. The role of AI in …

Artificial intelligence and blockchain: A review

AA Hussain, F Al‐Turjman - Transactions on emerging …, 2021 - Wiley Online Library
It is irrefutable that blockchain and artificial intelligence (AI) paradigms are spreading at an
incredible rate. The two paradigms have distinctive level of innovative nature and …

Distributed stochastic algorithm based on enhanced genetic algorithm for path planning of multi-UAV cooperative area search

J Zheng, M Ding, L Sun, H Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multiple unmanned aerial vehicle (Multi-UAV) cooperative area search is an important and
effective means of intelligence acquisition and disaster rescue. Search path planning is a …

[HTML][HTML] A review of classical methods and Nature-Inspired Algorithms (NIAs) for optimization problems

PK Mandal - Results in Control and Optimization, 2023 - Elsevier
Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …

Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning

T Lazebnik - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Hospital staff and resources allocation (HSRA) is a critical challenge in healthcare systems,
as it involves balancing the demands of patients, the availability of resources, and the need …

Efficient quantum algorithm for solving travelling salesman problem: An IBM quantum experience

K Srinivasan, S Satyajit, BK Behera… - arxiv preprint arxiv …, 2018 - arxiv.org
The famous Travelling Salesman Problem (TSP) is an important category of optimization
problems that is mostly encountered in various areas of science and engineering. Studying …

A decentralized multi-agent framework for urban flood management

AR Nazemi, M Dolatshahi, R Kerachian - Sustainable Cities and Society, 2024 - Elsevier
The management of water resources in urban environments is challenging due to the
existence of numerous stakeholders and the large number of affected people. In this paper …

Local Search-based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems

X Liao, K Hoang, X Luo - IEEE/CAA Journal of Automatica …, 2025 - ieeexplore.ieee.org
Dear Editor, The distributed constraint optimization problems (DCOPs)[1]–[3] provide an
efficient model for solving the cooperative problems of multiagent systems, which has been …