Essays about: "Events Detection"
Showing result 1 - 5 of 186 essays containing the words Events Detection.
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1. Vertical movement asymmetries in 3-year-old SWB horses and their associations with scores in Young Horse Tests
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : To improve equine performance and welfare, many attempts have been made to investigate associations between performance, longevity, orthopaedic health, conformation and talent. Causal relationships between these qualities supported by strong scientific evidence are lacking. READ MORE
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2. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. READ MORE
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3. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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4. Quantum Espionage
University essay from KTH/Tillämpad fysikAbstract : This thesis investigates the security of optical fiber communication and demonstrates the feasibility of eavesdropping using different tapping methods and superconducting nanowire single-photon detectors (SNSPDs). Methods for surveillance against fiber intrusion are also investigated. READ MORE
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5. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE