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81 |
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
Enthalten in Journal of cheminformatics Bd. 9, 28.6.2017, Nr. 1, date:12.2017: 1-13
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82 |
Deep neural networks watermark via universal deep hiding and metric learning
Enthalten in Neural computing & applications Bd. 36, 21.2.2024, Nr. 13, date:5.2024: 7421-7438
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83 |
Deep Neural Networks: Selected Aspects of Learning and Application
Enthalten in Pattern recognition and image analysis Bd. 31, 8.4.2021, Nr. 1, date:1.2021: 132-143
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84 |
Deep reinforcement Learning Based on Residual Convolutional Neural Networks and Drop Connect Long Short-Term Memory with Adaptive Feedback for Webpage Quality Classification
Enthalten in Wireless personal communications Bd. 140, 15.1.2025, Nr. 1-2, date:1.2025: 195-223
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85 |
Deep Transfer Learning for Bearing Fault Diagnosis using CWT Time–Frequency Images and Convolutional Neural Networks
Enthalten in Journal of failure analysis and prevention Bd. 23, 21.4.2023, Nr. 3, date:6.2023: 1046-1058
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86 |
Design of tomato picking robot detection and localization system based on deep learning neural networks algorithm of Yolov5
Enthalten in Scientific reports Bd. 15, 20.2.2025, Nr. 1, date:12.2025: 1-16
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87 |
Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety
Enthalten in Journal of medical systems Bd. 47, 31.7.2023, Nr. 1, date:12.2023: 1-9
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88 |
Development and validation of a deep learning model using convolutional neural networks to identify femoral internal fixation device in radiographs
Enthalten in Skeletal radiology Bd. 52, 25.3.2023, Nr. 8, date:8.2023: 1577-1583
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89 |
Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks
Enthalten in Scientific reports Bd. 12, 23.12.2022, Nr. 1, date:12.2022: 1-11
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90 |
Enhanced detection of surface deformations in LPBF using deep convolutional neural networks and transfer learning from a porosity model
Enthalten in Scientific reports Bd. 14, 6.11.2024, Nr. 1, date:12.2024: 1-15
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