1 – 30 of 30
- show: 100
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2023
-
Mark
Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1
(
- Master (Two yrs)
-
Mark
Fingerprint Synthesis Using Deep Generative Models
(
- Master (Two yrs)
- 2022
-
Mark
Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
(
- Master (Two yrs)
-
Mark
Pose classification of people using high resolution radar indoor
(
- Master (Two yrs)
-
Mark
Self-Supervised Learning: Land Classification of Satellite Imagery
(
- Bach. Degree
-
Mark
Optimization algorithms underlying neural networks: Classification of meditative states by use of recurrent neural networks
2022) In Bachelor's Theses in Mathematical Sciences MATK11 20212(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Bach. Degree
-
Mark
Modeling rush hour vehicular traffic using a machine learning approach
(
- Master (Two yrs)
-
Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(
- Master (Two yrs)
- 2021
-
Mark
Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
(
- Master (Two yrs)
-
Mark
Identifying obstacles and key measurements of roof surfaces using a digital surface model and an orthomosaic
(
- Master (Two yrs)
-
Mark
AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach
(
- Master (Two yrs)
- 2020
-
Mark
Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network
(
- Master (Two yrs)
-
Mark
Tick data clustering analysis establishing support and resistance levels of the EUR-USD exchange market
(
- Master (Two yrs)
-
Mark
Machine learning methods on Swedish geological data
(
- Master (Two yrs)
-
Mark
Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
(
- Bach. Degree
- 2019
-
Mark
Clustering and Anomaly Detection in Financial Trading Data
(
- Master (Two yrs)
-
Mark
Transfer Learning in Autonomous Vehicles using Convolutional Networks
(
- Master (Two yrs)
-
Mark
Forecasting the USD/SEK exchange rate using deep neural networks
(
- Bach. Degree
-
Mark
Designing a deep-learning network for traffic density and volume prediction
2019) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
A Linear Framework for Orbit Correction in the High-Luminosity Large Hadron Collider
(
- Master (Two yrs)
-
Mark
Deep Distributional Temporal Difference Learning for Game Playing
(
- Master (Two yrs)
- 2018
-
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
Studying and Forecasting Trends for Cryptocurrencies Using a Machine Learning Approach
2018) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Multiclass Cross-selling Model for Savings and Investments Using Gradient Boosting
(
- Master (Two yrs)
-
Mark
Steering Angle Prediction by a Deep Neural Network and its Domain Adaption Ability
(
- Master (Two yrs)
- 2017
-
Mark
Understanding Information Based Processes in Traffic Modeling
(
- Master (One yr)
-
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
- 2014
-
Mark
Pricing of Discretely Monitored Barrier Options - Improvement of an Approximation Formula
(
- Master (Two yrs)
- 2013
-
Mark
Stochastic Modeling and Simulation of Microscopic Processes
2013) In Bachelor's Theses in Mathematical Sciences NUMK01 20132(
Mathematics (Faculty of Engineering)- Bach. Degree
- 2012
-
Mark
Methods for Vortex Identification
(
- Master (Two yrs)