Essays about: "performance evaluation techniques"
Showing result 1 - 5 of 363 essays containing the words performance evaluation techniques.
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1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes
University essay from Institutionen för tillämpad informationsteknologiAbstract : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. READ MORE
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2. Robust Object Recognition and Tracking with Drones
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. READ MORE
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3. Force Type ID, a Two-Factor-Authentication based on force sensitive keys and password
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The conventional computer keyboard keys work as binary switch systems and have stayed the same since the invention of typewriters. With the accelerated progress in forcesensing technology, force-sensitive keyboards have become viable consumer products due to advancements in manufacturing. READ MORE
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4. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE
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5. 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
