Essays about: "spatio-temporal machine learning"

Showing result 1 - 5 of 20 essays containing the words spatio-temporal machine learning.

1. 1. Graph Neural Networks for Events Detection in Football

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Giovanni Castellano; [2023]
   Keywords : Machine Learning; Graph Neural Network; Recurrent Neural Network; Trajectory Data; Football; Events Detection; Maskininlärning; Graph Neural Network; Recurrent Neural Network; Bandata; fotboll; händelsedetektering;

   Abstract : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. READ MORE

3. 2. Deep learning for temporal super-resolution of 4D Flow MRI

   University essay from KTH/Matematik (Avd.)

   Author : Pia Callmer; [2023]
   Keywords : Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

   Abstract : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. READ MORE

4. 3. Super-Resolution Vehicle Trajectory using Recurrent Time Series Imputation

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Hasnain Roopawalla; [2022]
   Keywords : ;

   Abstract : Vehicle data finds its use in a variety of applications in the fields of machine learning and data analysis. The volume of available data is limited by the frequency of data collection, and for several reasons, it can be infeasible to simply amplify this frequency. READ MORE

5. 4. Generating Geospatial Trip DataUsing Deep Neural Networks

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Ahmed Alhasan; [2022]
   Keywords : Deep Learning; Machine Learning; Statistics; Generative Adversarial Networks; Computer Science; Generative Models;

   Abstract : Synthetic data provides a good alternative to real data when the latter is not sufficientor limited by privacy requirements. In spatio-temporal applications, generating syntheticdata is generally more complex due to the existence of both spatial and temporal dependencies. READ MORE

6. 5. Multimodal Machine Learning in Human Motion Analysis

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jia Fu; [2022]
   Keywords : Multimodal machine learning; Modal fusion; Human motion classification; Multimodal maskininlärning; Modal fusion; Mänsklig rörelseklassificering;

   Abstract : Currently, most long-term human motion classification and prediction tasks are driven by spatio-temporal data of the human trunk. In addition, data with multiple modalities can change idiosyncratically with human motion, such as electromyography (EMG) of specific muscles and respiratory rhythm. READ MORE