Papers matching “deep convolutional neural networks” 62
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Deep convolutional neural networks for surface coal mines determination from sentinel-2 images2021 European Journal of Remote Sensing article Engineering Remote-Sensing Image Classification Open access
Logambal Madhuanand, Pankaj Sadavarte, Antoon J. H. Visschedijk, Hugo Denier van der Gon, Ilse Aben, Frank Osei
32citations -
Deep learning-based prediction of particle size distributions in construction and demolition waste recycling using convolutional neural networks on 3D laser triangulation data2025 Construction and Building Materials article Engineering Recycled Aggregate Concrete Performance Open access
Nils Kroell, Eric Thor, Lieve Josephina Leonie Göbbels, Xiaozheng Chen
16citations -
Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access
Niklas C. Fehlemann, Ana Lia Suarez Aguilera, Stefan Sandfeld, Maximilian Neite, David Lenz, Markus Könemann, +1 more
9citations -
Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies2020 Computer Methods in Applied Mechanics and Engineering article Engineering Structural Health Monitoring Techniques
Marcus Stoffel, Rutwik Gulakala, Franz Bamer, Bernd A. Markert
78citations -
Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks2021 Fatigue & Fracture of Engineering Materials & Structures article Engineering Fatigue and fracture mechanics Open access cited by 6 patents
Tobias Strohmann, Denis Starostin‐Penner, Eric Breitbarth, Guillermo Carlos Requena
67citations -
Complex Deep Neural Network Based Intelligent Signal Detection Methods for OFDM-IM Systems2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) conference-paper Engineering PAPR reduction in OFDM cited by 1 patent
Xiao Chen, Miao Liu, Guan Gui, Bamidele Adebisi, Haris Gacanin, Hikmet Sari
12citations -
Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck
0citations -
Virtual mix design: Prediction of compressive strength of concrete with industrial wastes using deep data augmentation2022 Construction and Building Materials article Engineering Concrete and Cement Materials Research Open access
Ning Chen, Shibo Zhao, Zhiwei Gao, Dawei Wang, Pengfei Liu, Markus Oeser, +2 more
70citations -
A gap-filling method for room temperature data based on autoencoder neural networks2021 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Romana Markovic, Jérôme Frisch, Andreas Wagner, Francesco Causone, Christoph van Treeck
5citations -
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards2021 Sensors article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent
Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Arnold Gillner
71citations -
Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning2020 Journal of Imaging article Engineering Remote-Sensing Image Classification Open access cited by 1 patent
Mathé T. Zeegers, Daniël M. Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg
11citations