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Ascending E2F7a/b ratio facilitates KLF13 transcription in hepatocellular carcinoma and correlates with the abundance of binuclear hepatocytes ( ABH ) modulation for short‐term recurrence2025 The FASEB Journal article Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access
Yifan Zhang, Yiquan Lu, Nan Wang, Fengjie Hao, Xiaochun Fei, Junqing Wang
0citations -
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks2020 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access
Weihan Li, Neil Sengupta, Philipp Dechent, David A. Howey, Anuradha M. Annaswamy, Dirk Uwe Sauer
365citations -
Using Synthesized IMU Data to Train a Long-Short Term Memory-based Neural Network for Unobtrusive Gait Analysis with a Sparse Sensor Setup6citations
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Investigating the Impact of Disease Recurrence: Comparative Analysis of Surgical Outcomes for Recurrent versus Single Episode Infective Endocarditis2026 The Thoracic and Cardiovascular Surgeon article Medicine Infective Endocarditis Diagnosis and Management
Ahmed Elderia, Ole Rasem, Patricia Soehne, Zakaria Msallati, Alina Chigri, Stephen Gerfer, +3 more
0citations -
Combining Slow and Fast: Complementary Filtering for Dynamics Learning2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Neural Networks and Applications Open access
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe
2citations -
Prediction of ground reaction force and joint moments based on optical motion capture data during gait2020 Medical Engineering & Physics article Engineering Muscle activation and electromyography studies
Marion Mundt, Arnd Koeppe, Sina David, Franz Bamer, Wolfgang Potthast, Bernd A. Markert
76citations -
Deep-learning based reconstruction of the shower maximum X$_{max}$ using the water-Cherenkov detectors of the Pierre Auger Observatory2021 Repository KITopen (Karlsruhe Institute of Technology) article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access
A. Aab, P. Abreu, M. Aglietta, Justin M. Albury, I. Allekotte, Alejandro Almela, +89 more
40citations -
Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study2021 JMIR Medical Informatics article Business, Management and Accounting Blood donation and transfusion practices Open access
Maximilian Schilling, Lennart Rickmann, Gabriele Hutschenreuter, Cord Spreckelsen
25citations -
Integrating Recurrent Neural Networks into Model Predictive Control for Thermal Torque Derating of Electric Machines2023 IFAC-PapersOnLine article Engineering Real-time simulation and control systems Open access cited by 1 patent
Alexander Winkler, Weizhou Wang, Armin Norouzi, David C. Gordon, Charles Robert Koch, Jakob Andert
8citations -
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks2021 IEEE Robotics and Automation Letters article Engineering Autonomous Vehicle Technology and Safety Open access
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
38citations -
Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates31citations
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Prediction of Temperature and Loading History Dependent Lumbar Spine Biomechanics Under Cyclic Loading Using Recurrent Neural Networks2023 Annals of Biomedical Engineering article Medicine Musculoskeletal pain and rehabilitation Open access
Nadja Blomeyer, Saurabh Balkrishna Tandale, Luis Fernando Nicolini, Philipp Kobbe, Thomas Pufe, Bernd A. Markert, +1 more
4citations -
Recurrent neural networks as virtual cavity pressure and temperature sensors in high-pressure die casting2024 The International Journal of Advanced Manufacturing Technology article Engineering Advanced machining processes and optimization Open access
Maximilian Rudack, Michael Rom, Lukas Bruckmeier, Mario Moser, Björn Pustal, Andreas Bührig–Polaczek
3citations -
Topology Identification in Low-Voltage Grids using Neural Networks2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) conference-paper Engineering Optimal Power Flow Distribution
Franziska Tischbein, Antoni Chajan, Luis Böttcher, Andreas Ulbig
2citations -
Detecting Ineffective Efforts during Expiration for Neonates with Attention RNNs2024 Current Directions in Biomedical Engineering article Neuroscience EEG and Brain-Computer Interfaces Open access
Camelia Oprea, Lara Stegemann, Lena Sophie Olivier, Mateusz Buglowski, Sabine Becker, Thorsten W Orlikowsky, +3 more
2citations -
Development of a DNI Forecast Tool Based on Machine Learning for the Smart Operation of a Parabolic Trough Collector System with Thermal Energy Storage2024 SolarPACES Conference Proceedings conference-paper Computer Science Solar Radiation and Photovoltaics Open access
Johannes Christoph Sattler, Siddharth Dutta, Spiros Alexopoulos, Adnan Kawam, Cristiano Teixeira Boura, Ulf Herrmann, +1 more
0citations