Essays about: "data network monitoring"
Showing result 1 - 5 of 283 essays containing the words data network monitoring.
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1. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. READ MORE
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2. Navigating the Waves of Conservation: Spatiotemporal Patterns in Harbour Porpoise Strandings in Swedish Waters
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Harbour porpoises (Phocoena phocoena) are the only cetacean residents found year-round in Swedish waters. Since in situ monitoring of cetaceans can be difficult, invasive and often costly, strandings can be used as a cost-effective alternative to continuously collect data on these elusive animals. READ MORE
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3. 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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4. 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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5. Intrusion Detection systems : A comparison in configuration and implementation between OSSEC and Snort
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : Hackare fortsätter att bli bättre på att få otillåten tillgång till våra datorer och kan undvika de mest grundläggande intrångsskyddade system och brandväggar på en standarddator. Då numren av intrång växer varje år och kostar företag miljoner av dollar, så verkar gapet mellan attackerare och försvarare att bli större. READ MORE