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71 |
Inverting Rayleigh surface wave velocities for eastern Tibet and western Yangtze craton crustal thickness based on deep learning neural networks
Enthalten in Nonlinear processes in geophysics discussion 2016: 1-9
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72 |
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
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73 |
A Deep Dive into Machine Learning: The Roles of Neural Networks and Random Forests in QSPR Analysis
Enthalten in BioNanoScience Bd. 15, 10.12.2024, Nr. 1, date:3.2025: 1-18
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74 |
A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks
Enthalten in Journal of medical systems Bd. 44, 18.12.2019, Nr. 2, date:2.2020: 1-16
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75 |
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
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76 |
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
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77 |
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
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78 |
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
Enthalten in Neural computing & applications Bd. 33, 12.1.2021, Nr. 1, date:1.2021: 121-157
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79 |
Assessing the impact of differential privacy in transfer learning with deep neural networks and transformer language models
Enthalten in Neural computing & applications Bd. 37, 26.11.2024, Nr. 6, date:2.2025: 5097-5119
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80 |
Assuring Efficient Path Selection in an Intent-Based Networking System: A Graph Neural Networks and Deep Reinforcement Learning Approach
Enthalten in Journal of network and systems management Bd. 32, 3.4.2024, Nr. 2, date:4.2024: 1-25
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