Sökning: "random forest regressor"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden random forest regressor.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Nikolaos Staikos; [2024]
   Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Sammanfattning : 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. LÄS MER

3. 2. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

   Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Divya Chedayan; Harry Geo Fernandez; [2023]
   Nyckelord :machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

   Sammanfattning : 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). LÄS MER

4. 3. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Srija Sunkara; [2023]
   Nyckelord :Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

   Sammanfattning : 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. LÄS MER

5. 4. Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process

   Master-uppsats, Lunds universitet/Kemiteknik (CI)

   Författare :Hanna Sjöman; [2023]
   Nyckelord :Wastewater treatment process; coagulant dosage; COD; machine learning; water and environmental engineering; Technology and Engineering;

   Sammanfattning : 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. LÄS MER

7. 5. Predictive Maintenance for Cyclotrons using Machine Learning

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Cesar Pawlik; [2023]
   Nyckelord :predictive maintenance machine learning cyclotron;

   Sammanfattning : 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. LÄS MER