Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …

H Tao, SI Abba, AM Al-Areeq, F Tangang… - … Applications of Artificial …, 2024 - Elsevier
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Treating reverse osmosis concentrate to address scaling and fouling problems in zero-liquid discharge systems: A scientometric review of global trends

M Yaqub, MN Nguyen, W Lee - Science of The Total Environment, 2022 - Elsevier
Currently, reverse osmosis concentrate (ROC) treatment is one of the most promising
techniques for its disposal because it produces freshwater with high recovery and valuable …

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

M Karbasi, M Jamei, M Ali, A Malik… - Computers and Electronics …, 2022 - Elsevier
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

H Jain, R Dhupper, A Shrivastava, D Kumar… - Computational Urban …, 2023 - Springer
Climate change is one of the most pressing global challenges we face today. The impacts of
rising temperatures, sea levels, and extreme weather events are already being felt around …

A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models

MM Alam, MY Akter, ARMT Islam, J Mallick… - Journal of …, 2024 - Elsevier
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …

Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment …

F Nkinahamira, A Feng, L Zhang, H Rong… - TrAC Trends in …, 2024 - Elsevier
Metal pollutants pose significant and enduring threats to human health and the environment,
mainly due to their non-biodegradable nature. Traditional monitoring of these pollutants …

Towards sustainable futures: A review of sediment remediation and resource valorization techniques

H Yang, Q Feng, J Zhu, G Liu, Y Dai, Q Zhou… - Journal of Cleaner …, 2024 - Elsevier
Sediment contamination has emerged as a pivotal concern within aquatic ecosystems,
posing complex challenges to both ecological integrity and human health. This review …

Drinking water resources suitability assessment based on pollution index of groundwater using improved Explainable Artificial Intelligence

SI Abba, MA Yassin, AS Mubarak, SMH Shah, J Usman… - Sustainability, 2023 - mdpi.com
The global significance of fluoride and nitrate contamination in coastal areas cannot be
overstated, as these contaminants pose critical environmental and public health challenges …

Integrated multiomics analysis identified comprehensive crosstalk between diverse programmed cell death patterns and novel molecular subtypes in Hepatocellular …

L Chen, Y Hu, Y Li, B Zhang, J Wang, M Deng… - Scientific Reports, 2024 - nature.com
Hepatocellular carcinoma (HCC) is a highly aggressive malignancy with increasing global
prevalence and is one of the leading causes of cancer-related mortality in the human …

Nitrate concentrations tracking from multi-aquifer groundwater vulnerability zones: Insight from machine learning and spatial mapping

SI Abba, MA Yassin, MM Jibril, B Tawabini… - Process Safety and …, 2024 - Elsevier
Nitrate contamination in groundwater is a significant environmental concern that poses risks
to human health and ecosystems. Several goals and targets of Sustainable Development …