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
Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management
Detecting hazardous substances in the environment is crucial for protecting human
wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) …
wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) …
Fluoride and nitrate enrichment in coastal aquifers of the Eastern Province, Saudi Arabia: The influencing factors, toxicity, and human health risks
Fluoride and nitrate contamination of groundwater is a major environmental issue in the
world's arid and semiarid regions. This issue is severe in both developed and develo** …
world's arid and semiarid regions. This issue is severe in both developed and develo** …
Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
Nitrate concentrations tracking from multi-aquifer groundwater vulnerability zones: Insight from machine learning and spatial map**
Nitrate contamination in groundwater is a significant environmental concern that poses risks
to human health and ecosystems. Several goals and targets of Sustainable Development …
to human health and ecosystems. Several goals and targets of Sustainable Development …
ChatGPT and the future of impact assessment
Like all other fields, Artificial Intelligence (AI) is expected to affect the Impact Assessment (IA)
systems worldwide. This study explores the opinions and concerns of international IA …
systems worldwide. This study explores the opinions and concerns of international IA …
Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant
As decision-makers, researchers encounter highly dynamic, complex problems requiring
suitable nature-based and industrial quantitative tools for performance analyses, syntheses …
suitable nature-based and industrial quantitative tools for performance analyses, syntheses …
Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane
The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …
water reuse and environmental preservation. Therefore, there is a pressing need for …
Genetic neuro-computing model for insights on membrane performance in oily wastewater treatment: An integrated experimental approach
In this study, response surface methodology (RSM) and artificial neural network-based
genetic algorithm (ANN-GA) were utilized to predict two crucial output parameters of …
genetic algorithm (ANN-GA) were utilized to predict two crucial output parameters of …
Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization
The rising heavy metal (HM) pollution in coastal aquifers in rapidly urbanizing areas such as
Dammam leads to significant risks to public health and environmental sustainability …
Dammam leads to significant risks to public health and environmental sustainability …
Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modeling
With the continuous clamor for a reduction in embodied carbon in cement, rapid solution to
climate change, and reduction to resource depletion, studies into substitute binders become …
climate change, and reduction to resource depletion, studies into substitute binders become …