Essays about: "GRU"

Showing result 31 - 35 of 62 essays containing the word GRU.

1. 31. Gaze tracking using Recurrent Neural Networks : Hardware agnostic gaze estimation using temporal features, synthetic data and a geometric model

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

   Author : Fredrik Malmberg; [2022]
   Keywords : Gaze Tracking; Eye Tracking; Computer Vision; Transfer Learning; Synthetic Data; Domain Adaptation; Sequential Models; Blickspårning; Ögonspårning; Datorseende; Transfer Learning; Syntetisk Data; Domain Adaptation; Sekventiella Modeller;

   Abstract : Vision is an important tool for us humans and significant effort has been put into creating solutions that let us measure how we use it. Most common among the techniques to measure gaze direction is to use specialised hardware such as infrared eye trackers. READ MORE

3. 32. 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

4. 33. Predictive Maintenance in Smart Agriculture Using Machine Learning : A Novel Algorithm for Drift Fault Detection in Hydroponic Sensors

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Ayad Shaif; [2021]
   Keywords : Predictive Maintenance; Internet of Things; Machine Learning; RNN; Forecasting; Classification; LSTM; CNN-LSTM; GRU; Sensor Drift Fault;

   Abstract : The success of Internet of Things solutions allowed the establishment of new applications such as smart hydroponic agriculture. One typical problem in such an application is the rapid degradation of the deployed sensors. READ MORE

5. 34. Natural Language Understanding for Multi-Level Distributed Intelligent Virtual Sensors

   University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Author : Angelos Papangelis; Georgios Kyriakou; [2021]
   Keywords : internet of things; virtual sensing; dataset generation; deep learning; natural language understanding;

   Abstract : In our thesis we explore the Automatic Question/Answer Generation (AQAG) and the application of Machine Learning (ML) in natural language queries. Initially we create a collection of question/answer tuples conceptually based on processing received data from (virtual) sensors placed in a smart city. READ MORE

6. 35. Exploiting Leap Motion and Microsoft Kinect Sensors for Static and Dynamic Sign Gesture Recognition

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Sumit Rakesh; [2021]
   Keywords : ;

   Abstract : One of the primary ways of communication between humans is verbal communication. Among hearing-impaired persons, the traditional way of communication is through sign language. Sign gestures are the atomic actions used in sign language for non-verbal communication. READ MORE