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Forecasting Malaysian Palm Oil Futures Using Random Forest and LSTM Networks: Enhanced Predictive Modeling with Climate-Based Parameters0citations
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Predicting Crude Oil Futures Prices Using Multivariate and Univariate Models: A Comparative Study of LSTM, RF, ARMA, and Holt-Winters0citations
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A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique2024 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing article Environmental Science Soil Moisture and Remote Sensing Open access
Haojin Zhao, Carsten Montzka, Harry Vereecken, Hendrikus Johannes Hendricks-Franssen
0citations -
A Robust CSI- Based Passive Perception Method Using CNN and Attention-Based Bi-Directional LSTM2022 GLOBECOM 2022 - 2022 IEEE Global Communications Conference conference-paper Engineering Indoor and Outdoor Localization Technologies
Zhengran He, Guozhen Xu, Siyuan Xu, Yu Wang, Guan Gui, Haris Gacanin, +1 more
12citations -
Comparing a rule-based decision tree to an LSTM network for the detection of ineffective efforts during expiration in neonates2025 Current Directions in Biomedical Engineering article Medicine Respiratory Support and Mechanisms Open access
Camelia Oprea, Lena Olivier, Mark Schoberer, André Stollenwerk
2citations -
Four-class EEG Classification for Seizure Prediction and Detection Using a Lightweight CNN-LSTM2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) conference-paper Neuroscience EEG and Brain-Computer Interfaces
Heng Zhang, Dan Wang, Jinlun Ji, Xiaohan Xue, Congyi Sun, Xinyu Wang, +3 more
6citations -
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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LSTM-based Inverse Dynamics Learning for Franka Emika Robot2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics
Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke
1citations -
Comparing a rule-based decision tree to an LSTM network for the detection of ineffective efforts during expiration in neonates2025 Current Directions in Biomedical Engineering article Medicine Neonatal and fetal brain pathology Open access
Camelia Oprea, Amrutha Kannan, Lena Sophie Olivier, Mark Schoberer, André Stollenwerk
0citations -
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks2020 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection Open access cited by 1 patent
Segun Isaiah Popoola, Bamidele Adebisi, Mohammad Ali A. Hammoudeh, Guan Gui, Haris Gacanin
249citations