Effective marine oil spill management (MOSM) is crucial to minimize the catastrophic
impacts of oil spills. MOSM is a complex system affected by various factors, such as …

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 …

This study is concerned with the design of a three-way classification mechanism realized
through combing fuzzy decision trees and expressing uncertainty associated with …

Offshore oil spills may pose a severe threat to marine ecological environment. In this paper,
a new methodology based on Bayesian network (BN) and Influence Diagram (ID) is …

Water quality deterioration in drinking water systems (ie, system failure) causing serious
outbreaks have frequently been happening around the world. These failures can be …

Marine oil spill response is a time sensitive and complex task, in which the management of
oily wastewater generated from response operations could be a bottleneck limiting the …

Monitoring emerging disinfection byproducts (DBPs) is challenging for many small water
distribution networks (SWDNs), and machine learning-based predictive modeling could be …

This study employs fuzzy regression and fuzzy multivariate clustering techniques to analyze
arsenic-polluted water samples originating from acid rock drainage in waste rock dumps …

Microbes constitute a substantial portion of Earth's biodiversity and play a critical role in
maintaining the equilibrium of ecosystems. Their significance extends to various domains …

Traditional content marketing methods resort grossly to market requirements but barely
obtain relatively accurate marketing prediction under loads of requirements. Machine …