Essays about: "Datapipeline"

Showing result 1 - 5 of 6 essays containing the word Datapipeline.

1. 1. Quality Assuring an Image Data Pipeline with Transfer Learning : Using Computer Vision Methodologies

   University essay from Uppsala universitet/Avdelningen Vi3

   Author : David Wiberg; [2023]
   Keywords : Computer vision; Deep Learning; AI; Datorseende; IT; Kvalitetssäkra; neurala nätverk; AI;

   Abstract : The computer vision field has taken big steps forwards and the amount of models and datasets that are being released is increasing. A large number of contemporary models are the result of extensive training sessions on massive datasets, reflecting a significant investment of time and computational resources. READ MORE

3. 2. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance

   University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Author : Hugo Ekinge; [2023]
   Keywords : Machine learning; GRU; 1D-CNN; Transformer; log analysis; parameter estimation; regression; performance monitoring; deep learning; troubleshooting; support; Maskininlärning; GRU; 1D-CNN; Transformer; logganalys; parameteruppskattning; regression; prestandaövervakning; djupinlärning; felsökning; support;

   Abstract : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. READ MORE

4. 3. Computer Vision for Document Image Analysis and Text Extraction

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

   Author : Omar Benchekroun; [2022]
   Keywords : Optical Character Recognition; Document Analysis; Text Extraction; Transformers; Convolutional Neural Networks; Optisk teckenigenkänning; dokumentanalys; textutvinning; transformatorer; konvolutionella neurala nätverk;

   Abstract : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). READ MORE

5. 4. A deep learning based anomaly detection pipeline for battery fleets

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

   Author : Nabakumar Singh Khongbantabam; [2021]
   Keywords : Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

   Abstract : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. READ MORE

6. 5. Implementation and Evaluation of a DataPipeline for Industrial IoT Using ApacheNiFi

   University essay from Karlstads universitet

   Author : Lina Vilhelmsson; Pontus Sjöberg; [2020]
   Keywords : Data pipelining; Apache NiFi; IIoT; Industrial IoT;

   Abstract : In the last few years, the popularity of Industrial IoT has grown a lot, and it is expected to have an impact of over 14 trillion USD on the global economy by 2030. One application of Industrial IoT is using data pipelining tools to move raw data from industry machines to data storage, where the data can be processed by analytical instruments to help optimize the industrial operations. READ MORE