Essays about: "search accuracy"
Showing result 1 - 5 of 184 essays containing the words search accuracy.
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1. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. READ MORE
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2. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE
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3. Mono-X signal characterisation from two-component DarkMatter using Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : In the recent decade, neural networks have become one of the leading tools in the search for the elusive nature of dark matter and its interactions through the analysis of numerically simulated data. This project introduces a minimal dark sector consisting of three additional fields and studies it through two mono-X signatures,mono-jet and mono-Z. READ MORE
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4. Automatic Voice Trading Surveillance : Achieving Speech and Named Entity Recognition in Voice Trade Calls Using Language Model Interpolation and Named Entity Abstraction
University essay from Uppsala universitet/Avdelningen Vi3Abstract : This master thesis explores the effectiveness of interpolating a larger generic speech recognition model with smaller domain-specific models to enable transcription of domain-specific conversations. The study uses a corpus within the financial domain collected from the web and processed by abstracting named entities such as financial instruments, numbers, as well as names of people and companies. READ MORE
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5. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. READ MORE