The transformative impact of Artificial Intelligence (AI) technologies, particularly Machine
Learning (ML), on the analysis of spectroscopic data in water quality assessment cannot be …

Abstract Machine learning (ML) models are widely used methods for analyzing data from
sensors and satellites to monitor climate change, predict natural disasters, and protect …

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 …

Drinking water quality assessment is a major issue today, as it is crucial to supply safe
drinking water to ensure the well-being of society. Predicting drinking water quality helps …

In order to achieve the Sustainable Development Goals (SDG), it is imperative to ensure the
safety of drinking water. The characteristics of each drinkable water, encompassing taste …

All living things, comprising animals, plants, and people require water to survive. The world
is covered in water, just 1 percent of it is fresh and functional. The importance and value of …

The aim of this study is to provide effective solutions to promote the transition of resource-
based cities to low carbon and sustainable development. Firstly, this study investigates the …

Critical infrastructures that provide irreplaceable services are systems that contain industrial
control systems (ICS) that can cause great economic losses, security vulnerabilities and …

Purpose We investigate connections between the development of Fintech and the blue
economy from September 14th, 2020, to August 11th, 2023. Design/methodology/approach …

Waterborne illnesses are a significant concern worldwide. The management of water
resources can be facilitated by artificial intelligence (AI) with the help of data analytics …