Sökning: "Tensor Regression"

Hittade 3 uppsatser innehållade orden Tensor Regression.

1. 1. Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data.

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Chandraprakash Sahu; Ahamed Buhari; [2022]
   Nyckelord :Machine Learning; Tensor Regression; Deep Learning; Multivariate Time Series;

   Sammanfattning : Information and modern computing technology advancements have led to a rise in the importance of maintenance, particularly in areas where a single components failure could have a significant impact on the overall systems performance. Numerous industries, including Alfa Laval, are operating on conditional-based systems that provide warnings only when a machine fails. LÄS MER

3. 2. Accelerating bulk material property prediction using machine learning potentials for molecular dynamics : predicting physical properties of bulk Aluminium and Silicon

   Master-uppsats, Linköpings universitet/Teoretisk Fysik

   Författare :Nicholas Sepp Löfgren; [2021]
   Nyckelord :machine learning; moment tensor potential; kernel ridge regression; molecular dynamics; density functional theory; materials science; data-driven materials design; maskininlärning; molekylärdynamik; täthetsfunktionalteori; materialvetenskap; datadriven materialdesign;

   Sammanfattning : In this project machine learning (ML) interatomic potentials are trained and used in molecular dynamics (MD) simulations to predict the physical properties of total energy, mean squared displacement (MSD) and specific heat capacity for systems of bulk Aluminium and Silicon. The interatomic potentials investigated are potentials trained using the ML models kernel ridge regression (KRR) and moment tensor potentials (MTPs). LÄS MER

4. 3. Visualization and Classification of Neurological Status with Tensor Decomposition and Machine Learning

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Thi Pham; [2019]
   Nyckelord :Stress assessment; physiological signals; biosensors; tensor decomposition; feature visualization; machine learning;

   Sammanfattning : Recognition of physical and mental responses to stress is important for stress assessment and management as its negative effects in health can be prevented or reduced. Wearable technology, mainly using electroencephalogram (EEG), provides information such as tracking fitness activity, disease detection, and monitoring neurologicalstates of individuals. LÄS MER