Essays about: "k-fold cross-validation"

Showing result 1 - 5 of 22 essays containing the words k-fold cross-validation.

  1. 1. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Sebastian Vogel Hauger; Logi Örn Axel Ingvarsson; [2023]
    Keywords : ;

    Abstract : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. READ MORE

  3. 2. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

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

    Author : Christopher Gauffin; [2023]
    Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE

  4. 3. Predicting Airbnb Prices in European Cities Using Machine Learning

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Shalini Gangarapu; Venkata Surya Akash Mernedi; [2023]
    Keywords : Machine Learning; Supervised Learning; Regression Algorithms; Airbnb Price Prediction;

    Abstract : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. READ MORE

  5. 4. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    University essay from KTH/Fastigheter och byggande

    Author : Egil Morast; [2022]
    Keywords : Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Abstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE

  6. 5. Viewership forecast on a Twitch broadcast : Using machine learning to predict viewers on sponsored Twitch streams

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Jonas Malm; Martin Friberg; [2022]
    Keywords : twitch; viewership; prediction; regression; machine learning; XGBoost; streaming; distance metrics; feature selection; cross-validation; feature engineering; pre-processing;

    Abstract : Today, the video game industry is larger than the sports and film industries combined, and the largest streaming platform Twitch with an average of 2.8 million concurrent viewers offers the possibility for gaming and non-gaming brands to market their products. READ MORE