- Comparative Analysis of Machine Learning Algorithms for Water ...🔍
- Comparative analysis of machine learning algorithms in water ...🔍
- Comparative Analysis of Machine Learning Algorithms in Automatic ...🔍
- Comparative Analysis of Machine Learning Techniques for Water ...🔍
- Comparative analysis of machine learning techniques for predicting ...🔍
- Comparative study of five machine learning algorithms on prediction ...🔍
- Optimizing machine learning for water safety🔍
- Comparative analysis of machine learning techniques for detecting ...🔍
Comparative analysis of machine learning algorithms in water ...
Comparative Analysis of Machine Learning Algorithms for Water ...
The DT model achieved an accuracy of 96% and 83% based on the training and testing sets, respectively. The KNN method achieved an accuracy of 75% with both the ...
Comparative analysis of machine learning algorithms in water ...
Comparative analysis of machine learning algorithms in water extraction. Aimin Li1, Meng Fan2*, Guangduo Qin2. 1 School of Geo-Science and Technology ...
Comparative Analysis of Machine Learning Algorithms in Automatic ...
At present, machine learning algorithms to extract water bodies mainly include neural networks, support vector machines, and random forest algorithms. The ...
Comparative Analysis of Machine Learning Algorithms for Water ...
This study aims to identify the influential parameters and heavy metals in water and assess the water quality classification at the Alpine ...
Comparative Analysis of Machine Learning Techniques for Water ...
This study presents a comparative analysis of various Machine Learning (ML) techniques for predicting water consumption using a ...
(PDF) Comparative analysis of machine learning algorithms in water ...
RecursiveFeature Elimination with Cross-Validation (RFECV) and analysis of variance have been used to choose features. The comparative analysis showed that the ...
In this research paper, we compare the accuracy of different machine learning algorithms in predicting water quality based on various parameters such as pH, ...
Comparative analysis of machine learning algorithms in water ...
Abstract. There are many traditional methods available for water body extraction based on remote sensing images, such as normalised difference water index (NDWI) ...
Comparative analysis of machine learning techniques for predicting ...
In recent years, researchers have been using machine learning algorithms to predict the breakage rate of water mains. Robles-Velasco et al. (2020) used ...
Comparative study of five machine learning algorithms on prediction ...
Prediction of water-conducting fractured zone (WCFZ) of mine overburden is the premise for reducing or eliminating water inrush hazards in ...
Comparative Analysis of Machine Learning Algorithms for Water ...
Moreover, we employed supervised machine learning models, including a decision tree, the k-nearest neighbor method, a neural network model (multi-layer ...
Comparative Analysis of Machine Learning Algorithms for Water ...
The performance of all algorithms is assessed by an accuracy metric. The accuracy rates for the validation set were observed to be 83% for the ...
Comparative Analysis of Machine Learning Algorithms for Water ...
Comparative Analysis of Machine Learning Algorithms for Water Quality Prediction ; MAMuhammad Akhlaq ; AEAsad Ellahi ; Rizwan Niaz ; MKMohsin Khan ; SSSaad Sh.
Optimizing machine learning for water safety: A comparative ... - PLOS
The results showed an increase in accuracy across all classifiers, increasing to nearly 100%. This study provides insights into the impact of dimensionality ...
Comparative Analysis of Machine Learning Algorithms in Automatic ...
Title: Comparative Analysis of Machine Learning Algorithms in Automatic Identification and Extraction of Water Boundaries. ; Language: English ; Authors: Li, ...
Comparative analysis of machine learning techniques for detecting ...
Random Forest and Decision Tree algorithms were the most accurate in determining the potability of water. The findings of this research are of high importance ...
(PDF) Comparative Analysis of machine learning techniques for ...
The quality of the water is grouped into three classes. Four machine learning algorithms namely decision tree, random forest tree, k-nearest neighbor and ...
A comparative analysis of statistical and machine learning ...
Machine learning techniques were used for groundwater salinity modeling. ... Nonlinear relationships were detected between the EC and its controlling factors.
A comparative analysis of machine learning algorithms for predicting ...
The present study uses nine machine learning (ML) methods to predict wave runup in an innovative and comprehensive methodology.
Comparative Analysis of Machine Learning Algorithms for Water ...
Efficient water quality prediction using supervised machine learning, Water, № 11 · Breast cancer pathological image classification based on the multiscale CNN ...