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- 2024
-
Mark
Beating the Bookies
(
- Master (One yr)
-
Mark
Generating Volatility Surfaces using Variational Autoencoders
(
- Master (Two yrs)
-
Mark
Machine Learning-based Multimodal Data Compression
(
- Master (Two yrs)
-
Mark
Interconnecting Multiple FPGAs for Distributed Machine Learning Inference
(
- Master (Two yrs)
- 2023
-
Mark
Tether-free Driveline Control for Water Propulsion Devices
(
- Master (Two yrs)
-
Mark
Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning
(
- Master (Two yrs)
-
Mark
Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
(
- Master (Two yrs)
- 2022
-
Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(
- Master (Two yrs)
-
Mark
Augmentation for Generalization
(
- Master (Two yrs)
-
Mark
Household Energy Cost Optimization Using Deep Reinforcement Learning
(
- Master (One yr)
-
Mark
Heart Rate Measurement using a 60 GHz Pulsed Coherent Radar Sensor
(
- Master (Two yrs)
-
Mark
Tuning of the ESS Drift Tube Linac using Machine Learning
(
- Master (One yr)
- 2021
-
Mark
Adaptive Beam Management in 5G-NR: A Machine Learning Perspective
(
- Master (Two yrs)
-
Mark
Graffiti Detection using a variable temperature MOx sensor and Machine Learning
(
- Master (Two yrs)
-
Mark
Analysing the quality of PlaneRCNN plane parameters using a structure from motion system
(
- Master (Two yrs)
- 2020
-
Mark
Design of 3D-printed cranioplasty moulds using Neural Network
(
- Master (Two yrs)
-
Mark
Analysing pedestrian movement with the Flowity software
(
- Bach. Degree
-
Mark
Feature Extraction and Classification of Medication-Induced Hyperkinesia During Treatment of Parkinson's Disease
(
- Master (Two yrs)
-
Mark
Using Neural Networks to Probe the Parameter Space of a 3HDM with a U(1) times Z2 Flavor Symmetry
(
- Master (Two yrs)
- 2019
-
Mark
Relevance in the eye of the beholder
(
- Master (Two yrs)
-
Mark
A study of classification methods to identify sound signals of a washing machine
2019) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Evaluation of X-band Weather Radar Data in Urban Hydrology
(
- Master (Two yrs)
-
Mark
Hopfield Model on Incomplete Graphs
(
- Bach. Degree
- 2018
-
Mark
Deep Learning to Predict Hip Fracture Risk from Clinical DXA-images
(
- Master (Two yrs)
-
Mark
Deep Reinforcement Learning in Real-time Bidding
2018) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Application of convolutional neural networks for fingerprint recognition
(
- Master (Two yrs)
-
Mark
Improving the OpenStreetMap Data Set using Deep Learning
(
- Prof. qual. >4 yrs
-
Mark
Using Self-Organizing Maps to Identify Operational Risk
(
- Master (Two yrs)
- 2017
-
Mark
Machine learning and its applications within insurance hit rates and credit risk modelling
(
- Master (Two yrs)
-
Mark
Designing a deep learning network for self-driving vehicles
2017) In Bachelor's Theses in Mathematical Sciences NUMK01 20171(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Text classification of short messages
(
- Prof. qual. >4 yrs
-
Mark
Subjective matching of products using Machine Learning
(
- Prof. qual. >4 yrs
- 2005
-
Mark
Modeling the total inflow energy to hydropower plants : a study of Sweden and Norway / Modellering av den totala tillrinningsenergin till vattenkraftverk : en studie av Sverige och Norge
(
- Prof. qual. >4 yrs