Essays about: "data augmentation"
Showing result 6 - 10 of 179 essays containing the words data augmentation.
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6. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : 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. READ MORE
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7. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : 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. READ MORE
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8. Bodies in Smartwatches : Embodied Data and Augmented Experiences in Self-Tracking Runners
University essay from Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)Abstract : 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. READ MORE
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9. Data Driven Augmentation for Deep Learning Applications
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE
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10. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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. READ MORE