Sökning: "random forest RF"

Visar resultat 1 - 5 av 82 uppsatser innehållade orden random forest RF.

1. 1. Android Malware Detection Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Rahul Sai Kesani; [2024]
   Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

   Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

3. 2. Physical Exercise and Fatigue Detection using Machine Learning

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Filip Säterberg; Rasmus Nilsson; [2024]
   Nyckelord :Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

   Sammanfattning : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. LÄS MER

4. 3. 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

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

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Emelie Sjökvist; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

7. 5. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

   Sammanfattning : 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. LÄS MER