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1521
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1522
Exploring the capabilities of hyperspectral remote sensing for soil texture evaluation
Published 2025-12-01Get full text
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1523
Classification of intracranial tumors based on optical-spectral analysis
Published 2023-10-01Get full text
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1524
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1525
Quantifying training response in cycling based on cardiovascular drift using machine learning
Published 2025-07-01Get full text
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1526
Machine Learning Model for Predicting Pathological Invasiveness of Pulmonary Ground‐Glass Nodules Based on AI‐Extracted Radiomic Features
Published 2025-08-01“…Nineteen radiomic features were extracted and filtered using Boruta and LASSO algorithms. Seven ML classifiers were evaluated using AUC‐ROC, decision curve analysis (DCA), and SHAP interpretability. …”
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1527
Constructing a predictive model for acute mastitis in lactating women based on machine learning
Published 2025-08-01Get full text
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1528
Optimal Adjustment Schemes on the Long Through-Type Bus Lines considering the Urban Rail Transit Network
Published 2018-01-01Get full text
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1529
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1530
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1531
The role of artificial intelligence in managing hospitalized patients with mental illness: a scoping review
Published 2025-07-01Get full text
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1532
Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review
Published 2025-07-01Get full text
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1533
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1534
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1535
Co‐Expression of MHC‐II and ANXA1: Mediators of PD‐1/PD‐L1 Therapy Resistance in Breast Cancer
Published 2025-08-01Get full text
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1536
Otitis externa in dogs (prevalence, etiology, clinical course, and treatment regimens)
Published 2024-05-01Get full text
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1537
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1538
Multi-omics analysis identifies SNP-associated immune-related signatures by integrating Mendelian randomization and machine learning in hepatocellular carcinoma
Published 2025-07-01“…And the key gene SLC16A3 and STRBP can significantly promote the proliferation and invasion ability of HCC cells. …”
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1539
Tensor RT optimized driver drowsiness detection system using edge device
Published 2025-10-01“…The proposed approach utilizes multiple models to improve and accurately detecting driver drowsiness, with the models being InceptionV3, ResNet50, VGG-16, and MobileNetV1. The system uses transfer learning techniques for implementing CNN model algorithms to analyze live video from the camera module, allowing for real-time detection of driver behavior such as fatigue or distraction. …”
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1540