Essays about: "The Time Machine"

Showing result 1 - 5 of 1193 essays containing the words The Time Machine.

  1. 1. Anomaly Detection in Wait Reports and its Relation with Apache Cassandra Statistics

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap; Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Abheyraj Singh Madhu; Sreemayi Rapolu; [2021]
    Keywords : Wait reports analysis; time-series anomaly detection; Apache Cassandra statistics; anomaly detection; behavior reporting tool;

    Abstract : Background: Apache Cassandra is a highly scalable distributed system that can handle large amounts of data through several nodes / virtual machines grouped together as Apache Cassandra clusters. When one such node in an Apache Cassandra cluster is down, there is a need for a tool or an approach that can identify this failed virtual machine by analyzing the data generated from each of the virtual machines in the cluster. READ MORE

  2. 2. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks

    University essay from Linköpings universitet/Datorseende

    Author : Hanna Hamrell; [2021]
    Keywords : machine learning; deep learning; image-to-image translation; image processing; generative adversarial networks; infrared images; computer vision;

    Abstract : Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used as training data fordeep learning models. READ MORE

  3. 3. Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction

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

    Author : Chun-Heng Jen; [2021]
    Keywords : Natural Language Processing; Information Extraction; Named Entity Recognition; Relation Extraction; Knowledge Graph; Naturlig språkbehandling; Informationsextraktion; Namngiven Entitetsigenkänning; Relationsextraktion; Kunskapsgraf;

    Abstract : Companies do not exist in isolation. They are embedded in structural relationships with each other. Mapping a given company’s relationships with other companies in terms of competitors, subsidiaries, suppliers, and customers are key to understanding a company’s major risk factors and opportunities. READ MORE

  4. 4. Investigation of Machine Learning Methods for Anomaly Detection and Characterisation of Cable Shoe Pressing Processes

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

    Author : Elliot Härenby Deak; [2021]
    Keywords : Machine Learning; LSTM; kNN; Time-series Classification; Anomaly Detection;

    Abstract : The ability to reliably connect electrical cables is important in many applications. A poor connection can become a fire hazard, so it is important that cables are always appropriately connected. This thesis investigates methods for monitoring of a machine that presses cable connectors onto cables. READ MORE

  5. 5. Encoder-Decoder Networks for Cloud Resource Consumption Forecasting

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

    Author : Sami Mejdi; [2021]
    Keywords : Telecommunications; Cloud; Time Series; Forecasting; Encoder-Decoder; Deep Learning; Machine Learning; Telekommunikation; Moln; Tidsserie; Prognoser; Envoder-Decoder; Djupinlärning; Maskininlärning;

    Abstract : Excessive resource allocation in telecommunications networks can be prevented by forecasting the resource demand when dimensioning the networks and the allocation the necessary resources accordingly, which is an ongoing effort to achieve a more sustainable development. In this work, traffic data from cloud environments that host deployed virtualized network functions (VNFs) of an IP Multimedia Subsystem (IMS) has been collected along with the computational resource consumption of the VNFs. READ MORE