- Comparative Analysis of Machine Learning Algorithms for Water ...🔍
- Comparative analysis of machine learning algorithms in water ...🔍
- Comparative Analysis of Machine Learning Techniques for Water ...🔍
- Comparative analysis of machine learning methods for prediction of ...🔍
- Comparative study of five machine learning algorithms on prediction ...🔍
- Comparative Analysis of Machine Learning Algorithms in Automatic ...🔍
- Comparative analysis of machine learning techniques for predicting ...🔍
- Optimizing machine learning for water safety🔍
Comparative Analysis of Machine Learning Algorithms for 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 for Water ...
This study aims to identify the influential parameters and heavy metals in water and assess the water quality classification at the Alpine ...
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 Water ...
This study presents a comparative analysis of various Machine Learning (ML) techniques for predicting water consumption using a ...
Comparative analysis of machine learning methods for prediction of ...
The successful application of machine learning algorithms enabled highly accurate predictions for water blooms. •. XGBoost and LSTM were the best performance ...
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 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 study of five machine learning algorithms on prediction ...
Five machine learning algorithms (linear regression, XGBRegressor, RandomForestRegressor, LineareSVR, and KNeighborsRegressor) were employed to develop five ...
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 in Automatic ...
At present, machine learning algorithms to extract water bodies mainly include neural networks, support vector machines, and random forest algorithms. The ...
(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 ...
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 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
In this study, we investigated the effectiveness of machine learning techniques in predicting water potability based on water quality attributes.
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 algorithms proposed in this work can predict drinking water quality within a short period of time. ANN has 99 percent height accuracy with a training error ...
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, ...
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 ...