Sökning: "data augmentation"
Visar resultat 6 - 10 av 188 uppsatser innehållade orden data augmentation.
6. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. LÄS MER
7. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER
8. Bodies in Smartwatches : Embodied Data and Augmented Experiences in Self-Tracking Runners
Master-uppsats, Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)Sammanfattning : This thesis investigates the relation between human and smartwatch by exploring the experiences of four Swedish long-distance runners who use digital technology to self-track their running activities. By examining the participating runners’ use of their smartwatches and smartwatch data as postphenomenological human-technology relations (Ihde, 1990), this thesis offers a perspective on the use of wearable self-tracking technology as augmenting human experience through digital data. LÄS MER
9. Data Driven Augmentation for Deep Learning Applications
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Deep learning models are achieving remarkable performance on numerous tasks across various fields and applications. However, current deep learning models often suffer from overfitting and are therefore heavily reliant on regularization techniques such as data augmentation. LÄS MER
10. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. LÄS MER