Essays about: "ML estimation"

Showing result 6 - 10 of 32 essays containing the words ML estimation.

1. 6. 2D Orientation Estimation Using Machine Learning With Multiple 5G Base Stations

   University essay from Linköpings universitet/Reglerteknik; Linköpings universitet/Tekniska fakulteten

   Author : Jianxin Qu; Nikil Johny Kunnappallil; [2022]
   Keywords : ;

   Abstract : Localization of mobile devices has implications on a multitude of use cases such as estimating the location of the user originating an emergency call, localization of devices to enable autonomous operation required by industrial Internet of Things (IoT) use cases, etc. In futuristic use cases such as Augmented Reality (AR), Virtual Reality (VR), Extended Reality (XR), autonomous navigation of Unmanned Aerial Vehicles (UAVs), we will require the capability of estimating orientation in addition to position of such devices for efficient and effective provisioning of these services to the end-users. READ MORE

3. 7. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Lasse Harkort; [2022]
   Keywords : dissolved organic carbon; machine learning; remote sensing; inland waters; water quality; open source data; Earth and Environmental Sciences;

   Abstract : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. READ MORE

4. 8. Deep Learning based Approximate Message Passing for MIMO Detection in 5G : Low complexity deep learning algorithms for solving MIMO Detection in real world scenarios

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

   Author : Andrea Pozzoli; [2022]
   Keywords : 5G; MIMO detection; Approximate Message Passing; OAMP-Net2; LVAMP; MMNet; Deep Learning; 5G; MIMO-detektering; Approximate Message Passing; OAMP-Net2; LVAMP; MMNet; Deep Learning;

   Abstract : The Fifth Generation (5G) mobile communication system is the latest technology in wireless communications. This technique brings several advantages, in particular by using multiple receiver antennas that serve multiple transmitters. READ MORE

5. 9. ML-Aided Cross-Band Channel Prediction in MIMO Systems

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Alejo Pérez Gómez; [2022]
   Keywords : MIMO; Deep Learning; Machine Learning; Probabilistic Principal Component Analysis; Variational Autoencoder;

   Abstract : Wireless communications technologies have experienced an exponential development during the last decades. 5G is a prominent exponent whose one of its crucial component is the Massive MIMO technology. READ MORE

6. 10. A Machine Learning Approach to the analysis of mortality in patients with cardiovascular diseases

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

   Author : Juan Miguel Aldamiz Orcajo; [2021]
   Keywords : machine learning; supervised learning; graphical models; mortality analysis; cardiovascular diseases.; dödlighetsanalys; hjärt-kärlsjukdomar; maskininlärning; funktionens betydelse; grafiska modeller.;

   Abstract : Cardiovascular diseases (CVDs) are the main cause of mortality worldwide, counting for a third of world demises. Consequently, early detection and underlying factors of these pathologies can play a critical role in successful treatments. Many researchers have applied machine learning (ML) for mortality risk estimation in CVDs. READ MORE