Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …
resources especially groundwater. Recent studies have reported significant impact of …
[HTML][HTML] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …
economically important urban canal in Bangladesh. The researchers employed the Root …
A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality
The aim of this research was to evaluate the existing remote sensing (RS) products, various
tools and techniques, and their limitations in retrieving the optically active (OA) Chlorophyll-a …
tools and techniques, and their limitations in retrieving the optically active (OA) Chlorophyll-a …
[HTML][HTML] Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches
Abstract The Rooppur Nuclear Power Plant (RNPP) at Ishwardi, Bangladesh is planning to
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
[HTML][HTML] AI-driven modelling approaches for predicting oxygen levels in aquatic environments
Reliable water quality models are crucial for better water management and pollution control.
Biochemical oxygen demand (BOD) and dissolved oxygen (DO) are the widely recognized …
Biochemical oxygen demand (BOD) and dissolved oxygen (DO) are the widely recognized …
Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach
Monitoring of groundwater (GW) resources in coastal areas is vital for human needs,
agriculture, ecosystems, securing water supply, biodiversity, and environmental …
agriculture, ecosystems, securing water supply, biodiversity, and environmental …
Water quality assessment tool for on-site water quality monitoring
Reliable water quality monitoring requires on-site processing and assessment of water
quality data in near real-time. This helps to promptly detect changes in water quality, prevent …
quality data in near real-time. This helps to promptly detect changes in water quality, prevent …
Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan
M Tayyab, M Hussain, J Zhang, S Ullah, Z Tong… - Journal of …, 2024 - Elsevier
Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …
cause substantial physical, environmental, and socioeconomic damage. However, the …
Learning a neural network-based soft sensor with double-errors parallel optimization towards effluent variable prediction in wastewater treatment plants
D Li, C Yang, Y Li, Y Chen, D Huang, Y Liu - Journal of Environmental …, 2024 - Elsevier
With the development of machine learning and artificial intelligence (ML/AI) models, data-
driven soft sensors, especially the neural network-based, have widespread utilization for the …
driven soft sensors, especially the neural network-based, have widespread utilization for the …