Essays about: "1D convolutional neural network"
Showing result 1 - 5 of 8 essays containing the words 1D convolutional neural network.
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1. Deep Learning for the prediction of RASER-MRI profiles
University essay from Linköpings universitet/Medie- och InformationsteknikAbstract : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. READ MORE
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2. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. READ MORE
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3. Smart Scooter : Solving e-scooter safety problems with multi-modal, privacy-preserving sensor technology and machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Micromobility ride-share scooters (e-scooters) have become a popular mode of transport in several major cities around the world, yet several safety and accessibility issues stem from how these scooters are operated, including sidewalk riding, unsafe parking and wrong-way riding. This thesis tackles these issues through a novel, privacy-preserving, end-to-end sensor system that employs lightweight machine learning models to provide real-time feedback to users to present unsafe scooter operation. READ MORE
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4. MODELING AND EVALUATING AN INTELLIGENT HEALTH MONITORING SYSTEM FOR ATRIAL FIBRILLATION DETECTION
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The heart disease Atrial Fibrillation (AFib) has increased worldwide in recent years. Untreated AFib can lead to cardiovascular complications such as stroke and heart failure. AFib is detected by physicians using Electrocardiogram (ECG). Since this disease can occur without symptoms for some patients, it can lead to late detection. READ MORE
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5. Multi-objective optimization for model selection in music classification
University essay from KTH/Optimeringslära och systemteoriAbstract : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. READ MORE