Essays about: "Risk Identification"
Showing result 36 - 40 of 257 essays containing the words Risk Identification.
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36. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE
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37. Sustainable Handling of Water from Coating Process
University essay from Lunds universitet/Kemiteknik (CI)Abstract : McNeil AB är en producent av rökavväjningsprodukter Nicorette® belägen i Helsingborg, Sverige. Tuggummi och tabletterna är produkter med högst produktionsvolym och drageringsprocessen av dessa produkter är den största på siten. Produktionen förväntas att öka i framtiden och med det även utsläpp av processvatten. READ MORE
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38. A critical overview of the RFQ process of a Global Company
University essay from Uppsala universitet/Industriell teknikAbstract : The increasing globalization has changed the dynamics of different functions within organizations. One function is procurement which has transformed from an operational to a strategic function. READ MORE
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39. Risk Assessments of Natural Hazards in Refugee Camp Planning in Greece. Challenges and Recommended Actions.
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : The rapid increase of asylum-seekers in 2015 overwhelmed the Greek reception system and led to the creation of numerous refugee camps throughout the country. The Sphere Minimum Standards provide globally acknowledged guidance to design and manage these facilities. READ MORE
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40. Construction of a machine learning training pipeline for merging AIS data with external datasources
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issues hasbeen trained predominately on single data sources such as vessel positioning data. READ MORE