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14621
Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data
Published 2024-11-01Get full text
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14622
Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification
Published 2025-04-01“…Background: In deep learning-based epilepsy prediction and classification, enhancing the extraction of electroencephalogram (EEG) features is crucial for improving model accuracy. …”
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14623
TF-CEP: carbon emission prediction with data augmentation and temporal-frequency fusion contrasting
Published 2025-07-01Get full text
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14624
Predicting incident type 2 diabetes in a Japanese cohort: an 8-year analysis of the NAGALA database
Published 2025-05-01Get full text
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Optimizing PSO for classification: comparison of Naïve Bayes and C4.5 for osteoporosis prediction
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14629
Prediction of remaining service life of lithium battery based on VMD-MC-BiLSTM
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14632
Landscape Metrics as Ecological Indicators for PM<sub>10</sub> Prediction in European Cities
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14635
Using Heuristic Value Prediction and Dynamic Task Granularity Resizing to Improve Software Speculation
Published 2014-01-01Get full text
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Method of predicting the outcome of surgical treatment in Dupuytren's contracture based on leukocyte formula indices
Published 2025-04-01Article -
14638
Application of Principal Component Analysis-Assisted Neural Networks for the Rotor Blade Load Prediction
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14639
Combined Prediction Method of Short-Term Distance Headway Based on EB-GRA-TCN
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14640
Prediction of Key Quality Parameters in Hot Air-Dried Jujubes Based on Hyperspectral Imaging
Published 2025-05-01“…The results demonstrate that the SG1st preprocessing method significantly enhanced the predictive capability of the model. For the predictions of <i>L</i>*, <i>a</i>*, <i>b</i>*, SSC, hardness, and moisture content, the best inversion models achieved coefficients of determination <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mi>p</mi><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> of 0.9972, 0.9970, 0.9857, and 0.9972, respectively. …”
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