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Ocean Response Along the East Antarctic Coastal Margin to the Southern Annular Mode
Published 2025-03-01“…We identified several clockwise gyres along East Antarctic coastal margins in satellite‐derived dynamic ocean topography (DOT). …”
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Use of Spectral Clustering for Identifying Circulation Patterns of the East Korea Warm Current and Its Extension
Published 2024-12-01“…A graphical clustering approach was used to objectively identify prevalent surface circulation patterns in the East/Japan Sea (EJS). By applying a spectral clustering algorithm, three distinct patterns in the East Korea Warm Current (EKWC) and its extension were identified from daily maps of reanalyzed sea surface heights spanning the past 30 years. …”
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Real-time plasma boundary shape reconstruction using visible camera on EAST tokamak
Published 2024-01-01“…In this study, a plasma optical boundary reconstruction system is constructed on the Experimental Advanced Superconducting Tokamak (EAST), and real-time shape reconstruction based on an optical method is realized for the first time on EAST. …”
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Artificial neural network method for forecasting price of purebred chicken egg in East Java
Published 2024-12-01“…This study uses Artificial Neural Network method with a feed-forward backpropagation algorithm. The purpose of this study is to determine price forecasting architecture using ANN and forecast price of purebred chicken eggs in East Java in 2024 and 2025. …”
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COMPARISON OF K-NEAREST NEIGHBOR AND NEURAL NETWORK FOR PREDICTION INTERNATIONAL VISITOR IN EAST JAVA
Published 2024-07-01“…So, it is recommended that the k-NN algorithm be used to predict the number of international visitors in East Java. …”
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Graph isomorphism—Characterization and efficient algorithms
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Machine Learning-Based Prediction of First Trimester Down Syndrome Risk in East Asian Populations
Published 2025-03-01“…The performance of these models was thoroughly evaluated using AUC (Area Under the Curve), accuracy, precision, recall, and F1 scores.Results: Among the twelve machine learning models, the highest recall of 0.84 for high-risk cases was achieved by LightGBM combined with the RUS (Random Undersampling) data balancing algorithm. The highest AUC of 0.939 was attained by the ANN and LSTM models when combined with the ROS (Random Oversampling) data balancing algorithm.Conclusion: The proposed ANN machine learning model, based on deep neural networks and combined with the ROS data balancing method, achieved an impressive AUC of 0.939 for classifying first-trimester Down syndrome risk in the East Asian population. …”
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Validation Indicator Identification and Customer Ranking in Microloans: A Study at Middle East Bank in Iran
Published 2024-06-01“…Naive Bayes, Meta, Attribute Selected Classifier, and j48 algorithms were implemented and WEKA software was used to classify criteria and create patterns. …”
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The clinical performance of an office-based risk scoring system for fatal cardiovascular diseases in North-East of Iran.
Published 2015-01-01“…Most of these risk score algorithms have been based on a long array of risk factors including blood markers of lipids. …”
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Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan
Published 2025-05-01“…The study of soil moisture’s relationship with different soil textures in the East Kazakhstan region has revealed several key trends. …”
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A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa
Published 2025-04-01“…Feature selection (FS) and comparisons were performed using the LASSO and Boruta algorithms. The selected features were one-hot encoded, and ordinal encoding was applied where appropriate. …”
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A Practical Approach for Optimal Power Distribution Among the West-to-East Power Transmission Channels with Minimized Losses
Published 2020-10-01“…In order to reduce the power losses in power transmission from West to East, an optimal power distribution strategy with minimized losses is studied for the West-to-East power transmission channels based on both theoretical analysis and simulation calculations. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan
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A community partitioning algorithm based on network enhancement
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Machine Learning Algorithms Performance Evaluation for Intrusion Detection
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An Unambiguous Acquisition Algorithm for BOC Signal with Arbitrary Order
Published 2024-06-01Get full text
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Ensemble machine learning (EML) based regional flood frequency analysis model development and testing for south-east Australia
Published 2025-06-01“…Study region: South-east Australia Study focus: This study develops two ensemble-based regional flood frequency analysis (RFFA) techniques, Random Forest Regression (RFR) and Gradient Boosting Regression (GBR)) with a standalone method (Artificial Neural Network (ANN), for south-east Australia. …”
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