Essays about: "Random Forest Regressor"
Showing result 1 - 5 of 20 essays containing the words Random Forest Regressor.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. 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
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3. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. READ MORE
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4. Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
University essay from Lunds universitet/Kemiteknik (CI)Abstract : The wastewater treatment process at Oatly consists of several treatment steps of which, two are chemical treatment steps involving coagulation followed by flotation to remove phosphorous and COD. The coagulant dosage is mainly determined based on the operator’s experience and supported using results from jar tests. READ MORE
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5. Predictive Maintenance for Cyclotrons using Machine Learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : A cyclotron is used for diagnosing and treating cancer. Pipes in the cyclotron have to be replaced as they get worn out when isotopes travel through them. This thesis aims to use machine learning models to predict when these parts have to be changed. READ MORE