Sökning: "multi task convolutional learning"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden multi task convolutional learning.

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

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :M Asjid Tanveer; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Lunds universitet/Matematik LTH

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

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

   Sammanfattning : 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. LÄS MER

7. 5. En jämförande studie med hjälp av maskininlärning : Vilket neuralt nätverk är mest lämpad för objektdetektering?

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Rosa Ekström; Robin Nowakowski; [2022]
   Nyckelord :artificiell intelligens; CNN; neuralt nätverk; objektdetektering; objektlokalisering; jämförande studie;

   Sammanfattning : Artificiell intelligens, även kallat AI, har länge varit ett aktuellt ämne. Idag genomsyras hela samhället av artificiell intelligens, allt ifrån sökmotorer, servicetjänster, självkörande bilar till verktyg för att underlätta vissa arbeten. LÄS MER