Essays about: "Model Monitoring"
Showing result 11 - 15 of 606 essays containing the words Model Monitoring.
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11. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE
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12. Heart rate estimation from wrist-PPG signals in activity by deep learning methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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13. Transient state UV spectroscopy of Tyrosine and Tyrosine-containing protein
University essay from KTH/Tillämpad fysikAbstract : The aromatic amino acids tryptophan, tyrosine, and phenylalanine have been extensively used for different label-free protein studies. These investigations extract information on protein conformations and interactions from the emitted fluorescence's intensity, wavelength, and/or polarization. READ MORE
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14. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE
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15. Wi-Fi fingerprinting as a mean to measure building occupancy : A case study in an office environment
University essay from KTH/TransportplaneringAbstract : The task of collecting visitor data in an indoor environment and therein determining the occupancy of a building is an extensive task. Conventional methods are expensive, time-consuming, and often lack the ability to produce data in longer time series. Further, they often require disruption of the studied area as equipment must be deployed. READ MORE
