91 – 100 of 141
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2020
-
Mark
Analysing pedestrian movement with the Flowity software
- Bach. Degree
-
Mark
Automated bone segmentation in computed tomography using deep learning with distance maps
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Detecting Deepfakes and Forged Videos Using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Cost-Optimized Event Detection in Football Video
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
- Master (Two yrs)
-
Mark
A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
- Master (Two yrs)
-
Mark
Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
A Novel Perceptual Metric in Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Semantic and Instance Segmentation of Radar Point Clouds using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2019
-
Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
(2019) In Master's Thesis in Mathematical Sciences FMAM05 20182
Mathematics (Faculty of Engineering)- Master (Two yrs)