Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives
Marine oil spills pose a significant threat to ocean and coastal ecosystems. In addition to
costs incurred by response activities, an economic burden could be experienced by …
costs incurred by response activities, an economic burden could be experienced by …
[PDF][PDF] The Diversity of artificial intelligence applications in marine pollution: A Systematic literature review
J Ning, S Pang, Z Arifin, Y Zhang… - Journal of Marine …, 2024 - researchgate.net
Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more
prevalent around the world. Multidimensional and sustainable ocean governance have …
prevalent around the world. Multidimensional and sustainable ocean governance have …
Machine learning predictive model for industry 4.0
Abstract In an Industry 4.0 environment, the data generated by sensors networks requires
machine learning and data analysis techniques. Thus, organizations face both new …
machine learning and data analysis techniques. Thus, organizations face both new …
[HTML][HTML] Analytical research of artificial intelligent models for machining industry under varying environmental strategies: An industry 4.0 approach
Since the introduction of Industry 4.0, manufacturing industries have adopted smarter
automation systems enabling better interconnection amongst various aspects of the …
automation systems enabling better interconnection amongst various aspects of the …
Monitoring offshore oil pollution using multi-class convolutional neural networks
Oil and gas production operations are a major source of environmental pollution that expose
people and habitats in many coastal communities around the world to adverse health …
people and habitats in many coastal communities around the world to adverse health …
Integrating hardware agents into an enhanced multi-agent architecture for Ambient Intelligence systems
DI Tapia, JA Fraile, S Rodríguez, RS Alonso… - Information …, 2013 - Elsevier
Ambient Intelligence (AmI) systems require the integration of complex and innovative
solutions. In this sense, agents and multi-agent systems have characteristics such as …
solutions. In this sense, agents and multi-agent systems have characteristics such as …
The fabrication and testing of a self-sensing MWCNT nanocomposite sensor for oil leak detection
M Al-Bahrani, A Bouaissi, A Cree - International Journal of Low …, 2022 - academic.oup.com
Oil spillage, due to either direct or indirect accidents, can cause major environmental and
economic issues if not detected and remedied immediately. In this study, the unique …
economic issues if not detected and remedied immediately. In this study, the unique …
Risk assessment of oil spills along the Mediterranean coast: A sensitivity analysis of the choice of hazard quantification
Oil pollution in the Mediterranean represents a serious threat to the coastal environment.
Quantifying the risks associated with a potential spill is often based on results generated …
Quantifying the risks associated with a potential spill is often based on results generated …
Data-driven abnormal condition identification and self-healing control system for fused magnesium furnace
Z Wu, Y Wu, T Chai, J Sun - IEEE Transactions on Industrial …, 2014 - ieeexplore.ieee.org
In the smelting process of fused magnesium furnaces (FMFs), frequent changes in the raw
material granule size and impurity constituent will cause the arc resistance between the …
material granule size and impurity constituent will cause the arc resistance between the …
A novel case adaptation method based on differential evolution algorithm for disaster emergency
X Yu, C Li, WX Zhao, H Chen - Applied Soft Computing, 2020 - Elsevier
When disasters happen, time is often very urgent. Case-based reasoning (CBR) is one of
the most effective approaches to support disaster emergency management. CBR takes good …
the most effective approaches to support disaster emergency management. CBR takes good …