Sökning: "Data Pre-processing"

Visar resultat 21 - 25 av 189 uppsatser innehållade orden Data Pre-processing.

1. 21. Automatic processing of LiDAR point cloud data captured by drones

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Leon Li Persson; [2023]
   Nyckelord :machine learning; supervised learning; random forest; point cloud segmentation;

   Sammanfattning : As automation is on the rise in the world at large, the ability to automatically differentiate objects in datasets via machine learning is of growing interest. This report details an experimental evaluation of supervised learning on point cloud data using random forest with varying setups. LÄS MER

3. 22. Influence of Preprocessing Steps for Molecular Data on Deep Neural Network Performance

   Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Tajouj Malla; [2023]
   Nyckelord :;

   Sammanfattning : The massive accumulation of omics data requires effective computational tools to analyze and interpret such data. Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI), has shed light on these challengings and achieved great success in bioinformatics. LÄS MER

4. 23. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :MOLA AYENEW; [2022-04-27]
   Nyckelord :pipeline; semi-automated; building facade; parsing; panorama imagery; Google Street view; mapillary; Mask R-CNN; deep learning; inference; rectilinear projection;

   Sammanfattning : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. LÄS MER

5. 24. Vibration-Based Terrain Classification for an Autonomous Truck

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Lucas Lovén; [2022]
   Nyckelord :Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

   Sammanfattning : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. LÄS MER

7. 25. CenterPoint-based 3D Object Detection in ONCE Dataset

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuwei Du; [2022]
   Nyckelord :3D Object Detection; Keypoint Detector; Class Balance; Self-Calibrated Convolution; IoU-aware Detector; Box Ensembles; 3D-Objektdetektering; Nyckelpunktsdetektor; Klassbalans; Självkalibrerad Faltning; IoU-medveten Detektor; Boxensembler;

   Sammanfattning : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. LÄS MER