Sökning: "recurrent training"

Visar resultat 6 - 10 av 40 avhandlingar innehållade orden recurrent training.

1. 6. Lateral epicondylalgia A new structured treatment program with an inter-disciplinary approach

   Författare :Pia Nilsson; Göteborgs universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; elbow; function; interdisciplinary; lateral epicondylalgia; pain; PRTEE-S; recurrence period; sick-leave; training program;

   Sammanfattning : Conclusion: Interdisciplinary cooperation in the treatment of patients with acute lateral epicondylalgia benefits the patients by shortening the rehabilitation period and provides health care professionals the opportunity for an improved learning and exchanging experiences. There was a strong will to cooperate and the risks of side effects with corticosteroid injections and NSAID are well-known although they are the most common treatments. LÄS MER

3. 7. Physical activity in Parkinson’s disease : measurement, correlates and effects of balance training

   Författare :Håkan Nero; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :;

   Sammanfattning : Aim: The overall aim of this thesis was to investigate correlates of physical activity in older adults with Parkinson’s disease and to evaluate the effects, both short- and long term, of the HiBalance program on physical activity and sedentary. Further, to investigate the associated factors of a training effect on physical activity. LÄS MER

4. 8. Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning

   Författare :Florian Westphal; Håkan Grahn; Niklas Lavesson; Marcus Liwicki; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; image binarization; heterogeneous computing; recurrent neural networks; interactive machine learning; historical documents;

   Sammanfattning : Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. LÄS MER

5. 9. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

   Författare :Chenjie Ge; Chalmers tekniska högskola; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

   Sammanfattning : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. LÄS MER

7. 10. Representation learning for natural language

   Författare :Olof Mogren; RISE; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER