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04/15/2023
A novel approach of a deep reinforcement learning based motion cueing algorithm for vehicle driving simulation
In the field of motion simulation, the level of immersion strongly depen...
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05/06/2022
Controlled Dropout for Uncertainty Estimation
Uncertainty quantification in a neural network is one of the most discus...
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11/25/2021
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface
Exoskeletons and orthoses are wearable mobile systems providing mechanic...
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10/07/2021
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization
Uncertainty quantification of machine learning and deep learning methods...
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05/29/2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works
Epileptic seizures are a type of neurological disorder that affect many ...
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07/07/2020
SpinalNet: Deep Neural Network with Gradual Input
Over the past few years, deep neural networks (DNNs) have garnered remar...
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09/25/2019
Deep Learning for Deepfakes Creation and Detection
Deep learning has been successfully applied to solve various complex pro...
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12/31/2018
