Essays about: "Dataökning"

Found 5 essays containing the word Dataökning.

1. 1. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

   University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

   Author : Punnawat Siripatthiti; [2023]
   Keywords : Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

   Abstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE

3. 2. Ankle Torque Estimation Using HDEMG Driven CNN-LSTM Model and Data Augmentation

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Haocheng Zhang; [2023]
   Keywords : data augmentation; deep learning; ankle joint torque estimation; HD-sEMG; dataökning; djupinlärning; vridmomentuppskattning av ankelleden; HD-sEMG;

   Abstract : Robotic-powered exoskeletons are increasingly used to assist patients with movement disorders in daily life and rehabilitation. Accurately estimating joint torque, especially for dynamic movement conditions using EMG, is crucial for effective assistance. READ MORE

4. 3. Point Cloud Data Augmentation for 4D Panoptic Segmentation

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

   Author : Wangkang Jin; [2022]
   Keywords : Point Cloud; Data Augmentation; 4D panoptic segmentation; Deep Learning; 3D Perception; Autonomous Driving; Punktmoln; Dataökning; 4D panoptisk segmentering; Djup lärning; 3D Perception; 3D Uppfattning; Autonom körning;

   Abstract : 4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection limits the size of existing point cloud datasets. READ MORE

5. 4. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

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

   Author : Sofia Nord; [2021]
   Keywords : Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

   Abstract : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. READ MORE

6. 5. Data Augmentation in Solving Data Imbalance Problems

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

   Author : Jie Gao; [2020]
   Keywords : Data augmentation; Data imbalance; NLP; Deep learning; Comparison.; Dataförstoring; Data obalans; Textklassificering; Naturlig språkbehandling; Djup lärning.;

   Abstract : This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well. READ MORE