Essays about: "multi task convolutional learning"

Showing result 1 - 5 of 21 essays containing the words multi task convolutional learning.

1. 1. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : M Asjid Tanveer; [2023]
   Keywords : Technology and Engineering;

   Abstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE

3. 2. Patient simulation. : Generation of a machine learning “inverse” digital twin.

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

   Author : Paolo Calderaro; [2022]
   Keywords : Machine learning; Cardiovascular models; Multi-variate time series; Multitarget regression; Inverse modelling; Maskininlärning; kardiovaskuläramodeller; multivariatatidsserier; multi-target regression; invers modellering;

   Abstract : In the medtech industry models of the cardiiovascular systems and simulations are valuable tools for the development of new products ad therapies. The simulator Aplysia has been developed over several decade and is able to replicate a wide range of phenomena involved in the physiology and pathophysiology of breathing and circulation. READ MORE

4. 3. Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis

   University essay from Lunds universitet/Matematik LTH

   Author : Kajsa Ledesma Eriksson; [2022]
   Keywords : Whole Slide Image; Breast Cancer; Histopathology; Deep Metric Learning; Deep Learning; Image Analysis; Mathematics and Statistics;

   Abstract : Female breast cancer is a complex and heterogeneous disease that accounts for most of the deaths caused by cancer in women worldwide. To stratify breast cancer patients into treatment groups is a challenging task, and in recent years, analysis of the genes active in the tumour has been used in the decision of cancer therapy. READ MORE

5. 4. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Nic Ekman; Ilias Theodoros Skordas; [2022]
   Keywords : 5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

   Abstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE

6. 5. Evaluating deep learning models for electricity spot price forecasting

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

   Author : Mia Zdybek; [2021]
   Keywords : Time series forecasting; Electricity price forecasting; Machine Learning; Deep learning; Multi-layer perceptron; Long short-term memory; Convolutional neural network; Tidsserieprediktion; Prognostisering av elspotpriser; Maskininlärning; Djupinlärning; Flerskikts-perceptron; Lågt korttidsminne; Neurala faltningsnät;

   Abstract : Electricity spot prices are difficult to predict since they depend on different unstable and erratic parameters, and also due to the fact that electricity is a commodity that cannot be stored efficiently. This results in a volatile, highly fluctuating behavior of the prices, with many peaks. READ MORE