Essays about: "Time series segmentation"

Showing result 6 - 10 of 19 essays containing the words Time series segmentation.

1. 6. AI-based Quality Inspection forShort-Series Production : Using synthetic dataset to perform instance segmentation forquality inspection

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Simon Tsehaie Russom; [2022]
   Keywords : Synthetic Training Dataset; Geometrical Defect Detection; Instance Segmentation; Data Augmentation Techniques; Mask R-CNN; Transformers; Syntetisk Träningsdataset; Detektion av Geometriska Defekter; Instanssegmentering; Tekniker för Dataaugmentering; Mask R-CNN; Transformers;

   Abstract : Quality inspection is an essential part of almost any industrial production line. However, designing customized solutions for defect detection for every product can be costlyfor the production line. This is especially the case for short-series production, where theproduction time is limited. READ MORE

3. 7. Unsupervised Segmentation of Time Series Data

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Martin Svensson; [2021]
   Keywords : Time series segmentation; Unsupervised segmentation;

   Abstract : In a modern vehicle system the amount of data generated are time series large enough for big data. Many of the time series contains interesting patterns, either densely populated or scarcely distributed over the data. READ MORE

4. 8. An analysis of new functionalities enabled by the second generation of smart meters in Sweden

   University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

   Author : Jose Drummond; [2021]
   Keywords : Smart meter; network operator; functionalities; data analytics; alarm system; power quality; dynamic pricing; load shedding; power grid; consumers; communication; operation department; power outage; voltage events; alarms; integration; interface;

   Abstract : It is commonly agreed among energy experts that smart meters (SMs) are the key component that will facilitate the transition towards the smart grid. Fast-peace innovations in the smart metering infrastructure (AMI) are exposing countless benefits that network operators can obtain when they integrate SMs applications into their daily operations. READ MORE

5. 9. Deep Learning for Earth Observation: improvement of classification methods for land cover mapping : Semantic segmentation of satellite image time series

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

   Author : Benjamin Carpentier; [2021]
   Keywords : Satellite Image Time Series; Remote sensing; Land Cover Classification; Deep Learning; Convolutional Neural Network; Tidsserier av satellitbilder; Fjärranalys; Classificering; Djupinlärning; KonvolutionelltNeuralt Nätverk;

   Abstract : Satellite Image Time Series (SITS) are becoming available at high spatial, spectral and temporal resolutions across the globe by the latest remote sensing sensors. These series of images can be highly valuable when exploited by classification systems to produce frequently updated and accurate land cover maps. READ MORE

6. 10. Visual Simultaneous Localization and Mapping with Deep Learning

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

   Author : Ferran Montraveta Roca; [2020]
   Keywords : ;

   Abstract : One of the biggest challenges of the automotive industry at the moment is the idea of autonomous vehicles and the huge amount of data that they require due to the main technology they use, Deep Learning. Often, collecting enough data is very expensive and time-consuming, causing the industry to start adopting technologies such as Scenario Cloning, where previously recorded sequences are used to digitally reconstruct the scenario. READ MORE