Sökning: "Multi-variate time series"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Multi-variate time series.
1. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER
2. Patient simulation. : Generation of a machine learning “inverse” digital twin.
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
3. LSTM Feature Engineering Through Time Series Similarity Embedding
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. LÄS MER
4. Detecting Social Breathing : Quantitative signs of interaction in conversational data
Master-uppsats, Umeå universitet/Institutionen för fysikSammanfattning : Human interaction has been a focus of study in psychology for a long time, but until recentlyonly very specific aspects of interaction have been considered. This approach leads to studiesthat gave insights into certain contexts, like parent-child or patient-clinician dynamics [1], [2]. LÄS MER
5. Classification of Gear-shift data using machine learning
Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : Today, automatic transmissions are the industrial standard in heavy-duty vehicles. However, tolerances and component wear can cause factory calibrated gearshifts to have deviations that have a negative impact on clutch durability and driver comfort. LÄS MER