Designing novel superwetting surfaces for high-efficiency oil–water separation: design principles, opportunities, trends and challenges
L Qiu, Y Sun, Z Guo - Journal of Materials Chemistry A, 2020 - pubs.rsc.org
Membrane filtration and absorption strategies based on superwetting surfaces for oil–water
separation have regained tremendous attention due to their being low cost, highly efficient …
separation have regained tremendous attention due to their being low cost, highly efficient …
Random forest in remote sensing: A review of applications and future directions
A random forest (RF) classifier is an ensemble classifier that produces multiple decision
trees, using a randomly selected subset of training samples and variables. This classifier …
trees, using a randomly selected subset of training samples and variables. This classifier …
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic …
Preparation of landslide susceptibility maps is considered as the first important step in
landslide risk assessments, but these maps are accepted as an end product that can be …
landslide risk assessments, but these maps are accepted as an end product that can be …
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
JN Goetz, A Brenning, H Petschko, P Leopold - Computers & geosciences, 2015 - Elsevier
Statistical and now machine learning prediction methods have been gaining popularity in
the field of landslide susceptibility modeling. Particularly, these data driven approaches …
the field of landslide susceptibility modeling. Particularly, these data driven approaches …
Sensors, features, and machine learning for oil spill detection and monitoring: A review
Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
[HTML][HTML] UAV remote sensing for urban vegetation mapping using random forest and texture analysis
Q Feng, J Liu, J Gong - Remote sensing, 2015 - mdpi.com
Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation mapping
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …
A comparative study of machine learning classifiers for modeling travel mode choice
J Hagenauer, M Helbich - Expert Systems with Applications, 2017 - Elsevier
The analysis of travel mode choice is an important task in transportation planning and policy
making in order to understand and predict travel demands. While advances in machine …
making in order to understand and predict travel demands. While advances in machine …
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
Preparation of landslide susceptibility map is the first step for landslide hazard mitigation
and risk assessment. The main aim of this study is to explore potential applications of two …
and risk assessment. The main aim of this study is to explore potential applications of two …
Urban flood mapping based on unmanned aerial vehicle remote sensing and random forest classifier—A case of Yuyao, China
Q Feng, J Liu, J Gong - Water, 2015 - mdpi.com
Flooding is a severe natural hazard, which poses a great threat to human life and property,
especially in densely-populated urban areas. As one of the fastest developing fields in …
especially in densely-populated urban areas. As one of the fastest developing fields in …
Application of machine learning in ocean data
R Lou, Z Lv, S Dang, T Su, X Li - Multimedia Systems, 2023 - Springer
In recent years, machine learning has become a hot research method in various fields and
has been applied to every aspect of our life, providing an intelligent solution to problems that …
has been applied to every aspect of our life, providing an intelligent solution to problems that …