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Spatiotemporal characteristics of future precipitation variability in the Tianshan Mountain region of China
Published 2025-02-01“…Based on ensemble precipitation data from the NEX-GDDP-CMIP6 dataset, this study analyzed multiscale changes in precipitation variability in the TM for the near (2030–2065) and far future (2066–2100) using Shannon entropy, offering valuable insights for water resource management and future challenges. …”
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5522
Deep Ensemble Learning for Human Action Recognition in Still Images
Published 2020-01-01“…More importantly, the model complexity can be reduced by lessening the number of trainable parameters, thereby effectively mitigating overfitting issues of the model in small datasets to some extent. We conduct experiments in Li’s action dataset, uncropped and 1.5x cropped Willow action datasets, and the results have validated the effectiveness and robustness of our proposed models in terms of mitigating overfitting issues in small datasets. …”
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5523
Identification of the Key Genes and Pathways in Esophageal Carcinoma
Published 2016-01-01“…Methods. 5 microarray datasets of EC were downloaded from Gene Expression Omnibus. …”
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Primary Thyroid Disorders in Patients with Endogenous Hypercortisolism: An Observational Study
Published 2014-01-01Get full text
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5527
Wearable Regionally Trained AI-Enabled Bruxism-Detection System
Published 2025-01-01“…The Recurrent Neural Network provided the highest accuracy 0.99 and a recall value 0.98 for the temporalis muscle dataset. The other eight classifiers have provided accuracies in descending order such as Convolutional Neural Network, Long Short-Term Memory, k-Nearest Neighbors, and Decision Tree 0.98; Logistic Regression 0.96; Support Vector Machine 0.97, and Naïve Bayes 0.89, respectively. …”
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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems
Published 2024-06-01“…The main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information security. …”
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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models
Published 2024-12-01“…However, the challenges in this analysis included the high dimensionality of the dataset and the lack of transparency in the ML models. …”
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Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
Published 2021-01-01“…In this study, we researched the RNA-seq transcriptome data of ccRCC in the TCGA dataset and used bioinformatics analyses to detect the relationship between m6A RNA methylation regulators and ccRCC. …”
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Open Data Release and Privacy Concerns: Complexity in Mitigating Vulnerability with Controlled Perturbation
Published 2021-01-01“…Both these algorithms used together are known to provide a good balance between privacy and quality control of the dataset as a whole entity. In this research, we have used the K-anonymity algorithm and compared the results with the addon of l-diversity. …”
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5533
Electrophysiological Characterization of Neuropathy Complicating Type 1 Diabetes Mellitus
Published 2019-01-01Get full text
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5534
Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm
Published 2025-01-01“…Experimental results demonstrate that ACGNN yields significant path planning outcomes on both public and custom-built datasets, surpassing the traditional Dijkstra’s shortest path algorithm, random graph network (RGN), and conventional GNN methodologies. …”
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A comparative approach of analyzing data uncertainty in parameter estimation for a Lumpy Skin Disease model
Published 2025-01-01“…MCMC outcomes derived from synthetic data, generated to mimic the characteristics of the real dataset, significantly surpassed those obtained from actual data in terms of uncertainties in identifying parameters and making predictions. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction
Published 2021-07-01“…Model performance was assessed by area under the curve (AUC) values, precision, and recall on an independent testing dataset. **Results:** A total of 47 498 HFrEF patients were included; 9427 with at least one HF hospitalization. …”
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Functional connectivity in burnout syndrome: a resting-state EEG study
Published 2025-02-01Get full text
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Assessment of Tear Film Quality among Smokers Using Tear Ferning Patterns
Published 2016-01-01Get full text
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