Essays about: "gated recurrent unit"

Showing result 6 - 10 of 44 essays containing the words gated recurrent unit.

  1. 6. 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

  3. 7. Estimation of average travel speed on a road segment based on weather and road accidents

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

    Author : André Höjmark; Vivek Singh; [2023]
    Keywords : average travel speed; road segment; weather; road accidents; LSTM; GRU; weather stations; sweden;

    Abstract : The previous research available to predict travel speed is wide and has been extensively studied. What currently is missing from the previous work is to estimate the travel speed when different non-recurrent events occur, such as car accidents and road maintenance work. READ MORE

  4. 8. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fredrik Kortetjärvi; Rohullah Khorami; [2023]
    Keywords : Graph Neural Network;

    Abstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE

  5. 9. Telecom Fraud Detection Using Machine Learning

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

    Author : Chao Xiong; [2022]
    Keywords : Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

    Abstract : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. READ MORE

  6. 10. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Nicklas Branding; [2022]
    Keywords : Machine learning; deep learning; covid-19; public health science; number of infection; regression; long short term memory; gated recurrent unit; support vector regressor; long short term memory-convolutional neural network; bidirectional-long short term memory;

    Abstract : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. READ MORE