Essays about: "Överföringsinlärning"

Showing result 1 - 5 of 34 essays containing the word Överföringsinlärning.

1. 1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

   Author : Marie-Ange Stefanos; [2023]
   Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

   Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

3. 2. Efficient Sentiment Analysis and Topic Modeling in NLP using Knowledge Distillation and Transfer Learning

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

   Author : George Malki; [2023]
   Keywords : Large Language Model; RoBERTa; Knowledge distillation; Transfer learning; Sentiment analysis; Topic modeling; Stor språkmodell; RoBERTa; Kunskapsdestillation; överföringsinlärning; Sentimentanalys; Ämnesmodellering;

   Abstract : This abstract presents a study in which knowledge distillation techniques were applied to a Large Language Model (LLM) to create smaller, more efficient models without sacrificing performance. Three configurations of the RoBERTa model were selected as ”student” models to gain knowledge from a pre-trained ”teacher” model. READ MORE

4. 3. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

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

   Author : Abdi Gobena; [2023]
   Keywords : Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

   Abstract : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. READ MORE

5. 4. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

   Author : Simon Ekman von Huth; [2023]
   Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

6. 5. Real-time adaptation of robotic knees using reinforcement control

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

   Author : Leifur Daníel Sigurðarson; [2023]
   Keywords : Machine learning; deep reinforcement learning; transfer learning; medical device; prosthetic; prosthesis; controls; human-in-the-loop; Maskininlärning; djup förstärkningsinlärning; överföringsinlärning; medicinsk utrustning; protes; kontroller; människa-i-loopen;

   Abstract : Microprocessor-controlled knees (MPK’s) allow amputees to walk with increasing ease and safety as technology progresses. As an amputee is fitted with a new MPK, the knee’s internal parameters are tuned to the user’s preferred settings in a controlled environment. READ MORE