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- research-articleJuly 2024
Adaptive identification of supply chain disruptions through reinforcement learning
Expert Systems with Applications: An International Journal (EXWA), Volume 248, Issue Chttps://doi.org/10.1016/j.eswa.2024.123477AbstractProactive identification and the management of disruption risks play a crucial role in the achievement of a global supply chain’s aims. Given the velocity and volume by which such disruption events occur, it is impractical to expect supply chain ...
- review-articleJuly 2024
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems
- Hang Thanh Bui,
- Hamed Aboutorab,
- Arash Mahboubi,
- Yansong Gao,
- Nazatul Haque Sultan,
- Aufeef Chauhan,
- Mohammad Zavid Parvez,
- Michael Bewong,
- Rafiqul Islam,
- Zahid Islam,
- Seyit A. Camtepe,
- Praveen Gauravaram,
- Dineshkumar Singh,
- M. Ali Babar,
- Shihao Yan
AbstractThe digitisation of agriculture, integral to Agriculture 4.0, has brought significant benefits while simultaneously escalating cybersecurity risks. With the rapid adoption of smart farming technologies and infrastructure, the agricultural sector ...
Highlights- Conducts a systematic literature review for cyber threat intelligence (CTI).
- Compares techniques in unstructured/structured sources for robust cybersecurity.
- Analyses techniques aligned with Agriculture 4.0's Smart Farming ...
- research-articleJanuary 2022
A reinforcement learning-based framework for disruption risk identification in supply chains
Future Generation Computer Systems (FGCS), Volume 126, Issue CPages 110–122https://doi.org/10.1016/j.future.2021.08.004AbstractRisk management is one of the critical activities which needs to be done well to ensure supply chain activities operate smoothly. The first step in risk management is risk identification, in which the risk manager identifies the risk ...
Highlights- Demonstrate how Reinforcement Learning can assist in proactive risk identification.