water bodyk-nearest neighbour algorithmartificial neural networkdecision treeamphibiansAmphibian species have been considered as useful ecological indicators. They are used as indicators of environmental contamination, ecosystem health and habitat quality., Amphibian species are sensitive to changes in the ...
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and an ensemble of ANN and k-nearest neighbor (kNN) classifiers. They selected some statistics of the pitch, energy, the speaking rate and the first and second formants as a feature set. 55%, 65%, and 70% of average accuracies are obtained for kNN, ANN, and the ensemble of ANNs, ...
Water Body Detection and Delineation with Landsat TM Data The aim of this project was to determine the accuracy of using simple digital image processing techniques to map riverine water bodies with Landsat 5 TM da... PS Frazier,KJ Page - 《Photogrammetric Engineering & Remote Sensing》 被引量:...
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was implemented through R (V.4.0.5) package to perform the classification of igneous rocks. We chose to use the default parameters in the xgboost package for classification [50]. Meanwhile, mature machine learning algorithms naïve Bayes, K-Nearest Neighbors (KNN), and Support Vector Machine ...
Starting from these data, six of the most commonly used supervised machine learning classification techniques, i.e. Logistic Regression (LR), Binary Decision Trees (DT), Naive Bayes Classifiers (NBC), K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Multi-Layer Perceptron Networks (...
142 that the combination of random forest classifier and feature sets containing the color histogram, Haralick textures and Hu moments outperforms the other four classifiers combined with the same feature sets, namely linear discriminant analysis, K-nearest neighbors, naïve bayes, and support vector...
ClassificationStandard Penetration, NRelative Density, %Resistance to Advancement of a (1.2 m) 4 ft. Long, (38 mm) 1.5 inch Diameter Spiral (Pigtail) Auger Very Loose < 4 0–15 The auger can be forced several inches into the soil, without turning, under the bodyweight of the technician....
where \(NN_C\) is the distance of the nearest neighbour to x using the distance function C. The final nearest neighbour to use for classification is based on the threshold T $$\begin{aligned} NN_{DTW_A}(x)={\left\{ \begin{array}{ll} NN_{DTW_I}(x) &{}\text{ if } S(X)>...