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1 |
Deep learning-based prediction of particle size distributions in construction and demolition waste recycling using convolutional neural networks on 3D laser triangulation data Kroell, Nils. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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Structural health monitoring of arch dams with deep learning: a comparative study of recurrent neural networks in daily, bi-monthly, and monthly predictions Enthalten in Journal of civil structural health monitoring 13.4.2025: 1-16
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Missing Object Detection and Tracking from Video Surveillance Camera Footage Based on Deep Learning Through Convolutional Gated Recurrent Neural Networks (CGRNN) Enthalten in Journal of electrical engineering & technology 8.4.2025: 1-9
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Human activity recognition using a bagging-based deep learning framework with convolutional capsule networks and spiking neural networks Enthalten in International journal of information technology 26.2.2025: 1-19
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Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning Heinrich, Kai. - Würzburg : Universität Würzburg, 2024
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Ensemble learning based lung and colon cancer classification with pre-trained deep neural networks Enthalten in Health and Technology 6.11.2024: 1-13
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Advancing brain tumor classification accuracy through deep learning: harnessing radimagenet pre-trained convolutional neural networks, ensemble learning, and machine learning classifiers on MRI brain images Enthalten in Multimedia tools and applications 11.3.2024: 1-29
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Monkeypox recognition and prediction from visuals using deep transfer learning-based neural networks Enthalten in Multimedia tools and applications 6.2.2024: 1-25
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A wholistic view of continual learning with deep neural networks: forgotten lessons and the bridge to active and open world learning Mundt, Martin. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2023
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Identification of Locations in Mecca using Image Pre-Processing, Neural Networks and Deep Learning Enthalten in The Arabian journal for science and engineering 29.12.2023: 1-21
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