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101 |
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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102 |
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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103 |
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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104 |
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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105 |
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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106 |
Enhancing Offline Signature Verification via Transfer Learning and Deep Neural Networks
Enthalten in Augmented human research Bd. 9, 19.8.2024, Nr. 1, date:12.2024: 1-11
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107 |
Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks
Enthalten in Scientific reports Bd. 15, 13.3.2025, Nr. 1, date:12.2025: 1-28
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108 |
Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks
Enthalten in Evolving systems Bd. 12, 18.5.2021, Nr. 3, date:9.2021: 583-590
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109 |
Improvising the performance of image-based recommendation system using convolution neural networks and deep learning
Enthalten in Soft computing Bd. 24, 3.3.2020, Nr. 19, date:10.2020: 14531-14544
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110 |
Learning deep hierarchical and temporal recurrent neural networks with residual learning
Enthalten in International journal of machine learning and cybernetics Bd. 11, 29.1.2020, Nr. 4, date:4.2020: 873-882
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