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- 2020
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Mark
Implementation of a Deep Learning Inference Accelerator on the FPGA.
- Master (Two yrs)
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Mark
Blood Cell Data Augmentation using Deep Learning Methods
(2020) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Analysing pedestrian movement with the Flowity software
- Bach. Degree
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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)
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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
Using Opaque AI for Smart Grids
- Bach. Degree
-
Mark
A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
- Master (Two yrs)
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Mark
Investigating the Use of Machine Learning to Detect Unilateral Arm Weakness
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Deep Learning Approach to Material Properties
- Bach. Degree
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Mark
Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network
- Master (Two yrs)