Department of Automatic Control
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- 2023
-
Mark
Enhancing GNSS Precision for Mobile Devices with Sensor Fusion Techniques: A Case Study on eBike Tracking Using State Estimation
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- Prof. qual. >4 yrs
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Mark
Night-time Vehicle Detection Based on Observable Light Cues Using Deep Learning
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- Prof. qual. >4 yrs
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Mark
Energy-Efficient Fixed-Coefficient FIR Filters for Millimeter-Wave Radios
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- Prof. qual. >4 yrs
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Mark
Generative AI for Synthetic Data
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- Prof. qual. >4 yrs
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Mark
Development of Detachable Audio Accessory for Surveillance Cameras
(
- Prof. qual. >4 yrs
-
Mark
Accuracy Improvement and Joint Stiction Relieve in Robot Arms Movement Applying Torque-Based Cartesian Impedance Control With Dithering
(
- Prof. qual. >4 yrs
-
Mark
Machine Condition Monitoring of Production Equipment
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- Prof. qual. >4 yrs
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Mark
Optimizing First-Order Method Parameters via Differentiation of the Performance Estimation Problem
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- Prof. qual. >4 yrs
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Mark
Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation
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- Prof. qual. >4 yrs
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Mark
Data-Driven Adaptive Control of Unmanned Surface Vehicles Using Learning-Based Model Predictive Control
(
- Prof. qual. >4 yrs