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Artikel 21 A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks
Enthalten in npj computational materials Bd. 10, 9.8.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 22 A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks
Enthalten in BioData Mining Bd. 18, 30.1.2025, Nr. 1, date:12.2025: 1-24
Online Ressource
Artikel 23 A primer on deep learning and convolutional neural networks for clinicians
Enthalten in Insights into imaging Bd. 12, 12.8.2021, Nr. 1, date:12.2021: 1-11
Online Ressource
Artikel 24 An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks
Enthalten in Scientific reports Bd. 15, 9.2.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 25 Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
Enthalten in Artificial intelligence review Bd. 57, 23.9.2024, Nr. 11, date:11.2024: 1-68
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Artikel 26 Biosignals learning and synthesis using deep neural networks
Enthalten in Biomedical engineering online Bd. 16, 25.9.2017, Nr. 1, date:12.2017: 1-17
Online Ressource
Artikel 27 Chisel plow characteristics impact on power-fuel consumption, stubble cover, and surface roughness using deep learning neural networks with sensitivity analysis
Enthalten in Scientific reports Bd. 14, 20.11.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 28 Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Enthalten in Scientific reports Bd. 14, 22.3.2024, Nr. 1, date:12.2024: 1-23
Online Ressource
Artikel 29 Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks
Enthalten in Scientific reports Bd. 15, 10.1.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 30 Comparative study of singing voice detection based on deep neural networks and ensemble learning
Enthalten in Human-centric computing and information sciences Bd. 8, 26.11.2018, Nr. 1, date:12.2018: 1-18
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