Essays about: "support metrics"
Showing result 6 - 10 of 215 essays containing the words support metrics.
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6. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. READ MORE
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7. Question-answering chatbot for Northvolt IT Support
University essay from Uppsala universitet/Signaler och systemAbstract : Northvolt is a Swedish battery manufacturing company that specializes in the production of sustainable lithium-ion batteries for electric vehicles and energy storage systems. Established in 2016, the company has experienced significant growth in recent years. READ MORE
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8. ASSESSING PREDICTION CONDITIONS ANDSEQUENTIAL CLASSIFICATION IN ICU SEPSISPREDICTION
University essay from Uppsala universitet/Statistiska institutionenAbstract : Patients admitted to intensive care units (ICUs) often have a higher risk of sepsis due to weakened immune systems. Early sepsis diagnosis is crucial for timely treatment, emphasizing the need to improve the predictive capabilities of sepsis prediction models. READ MORE
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9. Predicting heart failure emergency readmissions
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. READ MORE
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10. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE