Papers matching “deep learning prediction” 102
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One-shot battery degradation trajectory prediction with deep learning2021 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access cited by 2 patents
Weihan Li, Neil Sengupta, Philipp Dechent, David A. Howey, Anuradha M. Annaswamy, Dirk Uwe Sauer
234citations -
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems2023 IEEE Transactions on Vehicular Technology article Engineering Millimeter-Wave Propagation and Modeling
Hao Huang, Guan Gui, Haris Gacanin, Chau Yuen, Hikmet Sari, Fumiyuki Adachi
30citations -
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning2023 IET Intelligent Transport Systems article Engineering Electric and Hybrid Vehicle Technologies Open access
Lukas Schäfers, Kai Franke, René Savelsberg, Stefan Pischinger
8citations -
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 -
Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning2022 Journal of Intelligent Manufacturing book-chapter Engineering Additive Manufacturing Materials and Processes Open access
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Quoc Tuan Pham, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, +1 more
59citations -
Real-Time Quality Control in Thin Glass Forming Using Infrared Thermography and Deep Learning2022 Key engineering materials article Engineering Industrial Vision Systems and Defect Detection Open access
Anh Tuan Vu, Paul Alexander Vogel, Abimathi Siva Subramanian, Tim Grunwald, Thomas Bergs
4citations -
AI-based Framework for Deep Learning Applications in Grinding2020 IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) conference-paper Engineering Advanced machining processes and optimization cited by 2 patents
Philipp Niemietz, Daniel Trauth, Wolfgang Maas, Thomas Bergs
14citations