Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from water by charge transfer reactions. It is a young and …
Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions. This paper traces …
This paper reviews the current GeoAI and machine learning applications in hydrological and hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …
Machine Learning (ML) techniques for time series prediction are becoming increasingly accurate and helpful, particularly in considering climate change. As more methods are …
M Khayet, E Aytaç, T Matsuura - Desalination, 2022 - Elsevier
Abstract Prof. Srinivasa Sourirajan is remembered by the desalination and membrane community as the “Father of Reverse Osmosis”. He passed away at the age of 98 peacefully …
S Wang, H Peng - Journal of Hydrology, 2024 - Elsevier
Hydrological simulations have seen extensive use of machine learning (ML) models. However, the existing ML models face challenges in effectively handling temporal and …
The circular economy (CE) is a rapidly growing theme, particularly in the European Union (EU), that encourages the responsible and circular use of resources in the field of …
D Zhu, H Chen, Y Zhou, X Xu, S Guo, FJ Chang… - Journal of …, 2022 - Elsevier
Multi-objective flood control operation of cascade reservoirs is a vital issue in river basin management. However, traditional multi-objective approaches commonly provide one …
In the rapidly advancing landscape of contemporary technology, power electronics assume a pivotal role across diverse applications, ranging from renewable energy systems to electric …