|
81 |
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
|
|
|
|
82 |
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
|
|
|
|
83 |
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
|
|
|
|
84 |
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
|
|
|
|
85 |
Can deep neural networks outperform Fama-MacBeth regression and other supervised learning approaches in stock returns prediction with asset-pricing factors?
Enthalten in Digital finance Bd. 5, 14.3.2023, Nr. 1, date:3.2023: 149-182
|
|
|
|
86 |
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
|
|
|
|
87 |
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
|
|
|
|
88 |
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
|
|
|
|
89 |
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
|
|
|
|
90 |
Concrete strength and durability prediction through deep learning and artificial neural networks
Enthalten in Frontiers of structural and civil engineering Bd. 18, 25.9.2024, Nr. 10, date:10.2024: 1540-1555
|
|
Administration
