Essays about: "Detection rule"
Showing result 6 - 10 of 51 essays containing the words Detection rule.
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6. Validation of a cat activity monitor
University essay from SLU/Dept. of Clinical SciencesAbstract : Early detection of diseases and injuries in animals is crucial for their health and well-being. Early diagnosis can be assisted by objective registration of different types of physical activities or behaviour patterns. READ MORE
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7. Fault detection and diagnosis through tool based expert rule methodology
University essay from KTH/Hållbara byggnaderAbstract : This thesis aims to develop a set of expert rules for fault detection and diagnosis,specifically for the Korsningen HVAC system, which has different sections, includingheat pumps, ventilation, supply/return hot and cold, chill beams, and radiators.The analysis focuses on identifying the most important sensors and other componentsthat provide valuable information to compress the data and improve systemreliability, reduce downtime, and increase efficiency. READ MORE
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8. SOFTWARE ENGINEERING PRACTICES IN DEVELOPING DEEP LEARNING MODELS: AN INDUSTRIAL CASE VALIDATION
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The widespread of machine learning and deep learning in commercial and industrial settings has seen a dramatic up-rise. While the traditional software engineering techniques have overlap between machine learning model development, fundamental differences exist which affect both scientific disciplines. READ MORE
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9. An Investigation of Slow HTTP DoS attacks on Intrusion Detection Systems
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Network Security Monitoring (NSM) is one of the standard methods used for protecting networks from attackers, and it has four phases: Monitoring, Detection, Forensics/Diagnosis, and Response/Recovery. One of the technologies frequently used for monitoring and detecting malicious traffic in the network is Intrusion Detection Systems (IDS). READ MORE
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10. Predicting and classifying atrial fibrillation from ECG recordings using machine learning
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Atrial fibrillation is one of the most common types of heart arrhythmias, which can cause irregular, weak and fast atrial contractions up to 600 beats per minute. Atrial fibrillation has increased prevalence with age and is associated with increased risks of ischemia, as blood clots can form due to the weak contractions. READ MORE