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Showing result 16 - 20 of 217 essays matching the above criteria.

1. 16. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Samaneh Shahrokhi; [2023]
   Keywords : supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

   Abstract : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. READ MORE

3. 17. Identifying the beginning of a kayak race using velocity signal data

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Indre Kvedaraite; [2023]
   Keywords : kayak race; velocity signal; machine learning; support vector machine; k nearest neighbours; random forest;

   Abstract : A kayak is a small watercraft that moves over the water. The kayak is propelled by a person sitting inside of the hull and paddling using a double-bladed paddle. While kayaking can be casual, it is used as a competitive sport in races and even the Olympic games. READ MORE

4. 18. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Nayema Taskin; [2023]
   Keywords : Telecommunication; Customer Retention; Churn Prediction; Machine Learning.;

   Abstract : Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success. It costs five to seven times more toacquire a new customer than it does to retain an existing one. READ MORE

5. 19. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

   University essay from Uppsala universitet/Matematiska institutionen

   Author : Sofia Färenmark; [2023]
   Keywords : Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

   Abstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE

6. 20. Predicting Disengagement in Short-Term Human-Robot Interactions : A Study in a University Library Setting

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

   Author : Joseph Karroum; Tomas Yonas Weldetinsae; [2023]
   Keywords : ;

   Abstract : This report presents a study that investigated the effectiveness of Support Vector Machine (SVM) as a machine learning learning technique for detecting human engagement during short-term interactions with social robots in a library setting. The goal was to build an SVM-based model trained on a dataset of recorded interactions and evaluate its performance in predicting engagement levels. READ MORE