Essays about: "early warning"
Showing result 1 - 5 of 72 essays containing the words early warning.
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1. Fixation and Machine Learning A new method for measuring fixation in internet users using machine learning and natural language processing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Fixation — the state of mind where an individual is intensely fixated on one individual, activity or idea — can be an early warning sign of an individual that will later go on to commit violent acts. This paper details the development of a method that measures fixation from texts written on internet forums, a method that could (when expanded) be a part of threat assessment and prevention of violence. READ MORE
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2. Developing Wastewater-based Early Warning System for the Detection of Disease Outbreaks and Emerging Variants with focus on SARS-CoV-2
University essay from KTH/Industriell bioteknologiAbstract : Under covid-19-pandemin har avloppsvattenbaserad epidemiologi (WBE) använts i stor utsträckning som ett komplement till kliniska tester över många delar av världen. Detta projekt syftade till att detektera och kvantifiera belastningen av Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) i avloppsvattenprover med hjälp av Revers transkriptas kvantitativ polymeraskedjereaktion (RT-qPCR). READ MORE
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3. Generative AI effects on school systems : An overview of generative AI with focus on ChatGPT, what it is, what it isn’t and how it works.
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This thesis has investigated what impact generative AI may have on higher education. Using a combination of a systematic literature study and interviews with representatives from four (4) large universities in Sweden. READ MORE
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4. State-of-safety (SoS) data-driven assessment for utility-scale lithium-ion operating BESS
University essay from KTH/EnergiteknikAbstract : The thesis project presented in this report proposes a methodology to implement the safety assessment of an operating electricity storage plant using a data-driven approach. This methodology is applied to one practical case. READ MORE
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5. A comparison of remote sensed semi-arid grassland vegetation anomalies detected using MODIS and Sentinel-3, with anomalies in ground-based eddy covariance flux measurements.
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Remote sensed vegetation biophysical indicators are derived from various sensors and methods and contribute to the quantification of vegetation growth. They are used as inputs to early warning systems for crop yield estimation, thus improving crop management and food security. READ MORE