Essays about: "Forest Models"

Showing result 16 - 20 of 726 essays containing the words Forest Models.

  1. 16. 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 informationsteknologi

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

    Abstract : 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

  3. 17. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach

    University essay from Umeå universitet/Institutionen för fysik

    Author : Emelie Sjökvist; [2023]
    Keywords : ;

    Abstract : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. READ MORE

  4. 18. Intrusion Detection in IT Infrastructures using Hidden Markov Models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Christopher Liu; Sabrina Al-Haddad; [2023]
    Keywords : ;

    Abstract : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. READ MORE

  5. 19. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Keywords : Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Abstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE

  6. 20. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Keywords : Bitcoin; Cryptocurrency; Machine Learning;

    Abstract : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. READ MORE