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] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
[HTML][HTML] A brief review of random forests for water scientists and practitioners and their recent history in water resources
Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …
to gain prominence in water resources applications. However, existing applications are …
Stock closing price prediction using machine learning techniques
Accurate prediction of stock market returns is a very challenging task due to volatile and non-
linear nature of the financial stock markets. With the introduction of artificial intelligence and …
linear nature of the financial stock markets. With the introduction of artificial intelligence and …
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
Abstract Machine learning algorithms (MLAs) such us artificial neural networks (ANNs),
regression trees (RTs), random forest (RF) and support vector machines (SVMs) are …
regression trees (RTs), random forest (RF) and support vector machines (SVMs) are …
Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
[HTML][HTML] Renewable energy integration in sustainable water systems: A review
The world's demand for water and energy is continuously growing due to population
increase. Traditional water systems are driven by energy produced using fossil fuels, which …
increase. Traditional water systems are driven by energy produced using fossil fuels, which …
Smart infrastructure: a vision for the role of the civil engineering profession in smart cities
Smart city programs provide a range of technologies that can be applied to solve
infrastructure problems associated with ageing infrastructure and increasing demands. The …
infrastructure problems associated with ageing infrastructure and increasing demands. The …
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an …
Watershed management decisions need robust methods, which allow an accurate predictive
modeling of pollutant occurrences. Random Forest (RF) is a powerful machine learning data …
modeling of pollutant occurrences. Random Forest (RF) is a powerful machine learning data …
[HTML][HTML] A critical review of short-term water demand forecasting tools—what method should i use?
The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …
develop, their exposure to climate change effects also increases. In this scenario, urban …
Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management
J Sun, L Hu, D Li, K Sun, Z Yang - Journal of Hydrology, 2022 - Elsevier
The overexploitation of groundwater resource and its delicacy management has gained
increasing attentions in recent years worldwide because of causing a series of serious …
increasing attentions in recent years worldwide because of causing a series of serious …