Emergency response recommendation for long-distance oil and gas pipeline based on an accident case representation model

Y Chen, L Zhang, J Hu, Z Liu, K Xu - Journal of Loss Prevention in the …, 2022 - Elsevier
Long-distance oil and gas pipelines undergo great changes in natural environments and
geographical conditions along length. Inadequate communications provided limited and …

Mitigating bullwhip effect in an agent-based supply chain through a fuzzy reverse ultimatum game negotiation module

FS Moghadam, MHF Zarandi - Applied Soft Computing, 2022 - Elsevier
Abstract Supply Chain Management is frequently regarded as a distributed system whose
productivity is mainly influenced by healthy interaction and cooperation among members …

[HTML][HTML] Scenario-based marine oil spill emergency response using hybrid deep reinforcement learning and case-based reasoning

K Huang, W Nie, N Luo - Applied Sciences, 2020 - mdpi.com
Case-based reasoning (CBR) systems often provide a basis for decision makers to make
management decisions in disaster prevention and emergency response. For decades, many …

Development and application of adaptive evaluation system for TBM tunneling based on case-based reasoning

J Zhan, J Wang, S Chen, C Luo, Y Zhou - Sustainability, 2023 - mdpi.com
The excavation adaptability evaluation decision process for the TBM (tunnel boring
machine) in long and large tunnels under complex geological conditions is an uncertain and …

A case retrieval strategy for traffic congestion based on cluster analysis

H Zhang, J Yang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In order to improve the retrieval efficiency, this paper uses case‐based reasoning (CBR) in
the retrieval of traffic congestion cases and tries to adopt the strategy of clustering case …

Automatic control system of balancing agricultural stereo cultivation based on wireless sensors

L Liu, S Hua, Q Lai - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
As a new development direction in the field of information science, wireless sensor network
(WSN) has attracted wide attention of academia and industry with its huge application …

A methodological approach to model cbr-based systems

EM Oliveira, RF Reale, JSB Martins - arxiv preprint arxiv:2009.04346, 2020 - arxiv.org
Artificial intelligence (AI) has been used in various areas to support system optimization and
find solutions where the complexity makes it challenging to use algorithmic and heuristics …

ARTIFICIAL INTELLIGENCE AND ITS TOOLS IN PEST CONTROL FOR AGRICULTURAL PRODUCTION: A REVIEW

ME Mignoni, ES Monteiro, C Zagonel… - … -ISSN 2675-6218, 2024 - recima21.com.br
Artificial Intelligence (AI) and its tools are being widely used worldwide. In the area of
agriculture, AI is being widely studied and expanding. The use of AI in agriculture is being …

Representative Case-Based Retrieval to Support Case-Based Reasoning for Prediction

A Mansoul, B Atmani - … Journal of Strategic Decision Sciences (IJSDS …, 2021 - igi-global.com
Case-based reasoning (CBR) is used to resolve a new problem by searching in past similar
situations. It is widely used for prediction. However, CBR induces many shortcomings …

A Health Management Method for Mechanical Equipment Based on Multi-Granulation Rough Set and Case-Based Reasoning: The Case of Oil-Immersed Transformer

J Li, R Bao, X Sun, Y Chen, J Zhu, Y Gao - Available at SSRN 4917375 - papers.ssrn.com
Case-based reasoning (CBR) is widely used in health management of equipment, utilizing
historical knowledge to swiftly rectify current faults. Nonetheless, challenges like inadequate …