Essays about: "Content Delivery Network"

Showing result 1 - 5 of 32 essays containing the words Content Delivery Network.

  1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

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

    Author : Borja Javierre I Moyano; [2023]
    Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

  3. 2. Violin Artist Identification by Analyzing Raga-vistaram Audio

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

    Author : Nandakishor Ramlal; [2023]
    Keywords : Artist identification; Music information retrieval; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Embeddings; log-Melspectrogram; Artistidentifiering; återhämtning av musikinformation; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Inbäddningar; log-Melspektrogram;

    Abstract : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. READ MORE

  4. 3. Understanding the Changing Dynamics of Rural Development in Dolakha, Nepal

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Benjamin Pablo Jungblut; [2020]
    Keywords : Sustainable Development; Rural Development; Strategic Action Fields; Rural Advisory Services; Nepal; International Development Aid;

    Abstract : There is ample debate around the conceptualizations of rural development as well as its implementation and impacts. Contemporary understandings underline the importance of social movements in social change, which has become a fundamental part of development. READ MORE

  5. 4. Developing an emulator for 360° video : intended for algorithm development

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Eric Lindskog; [2020]
    Keywords : VR; emulation; simulation; tools; 360°; video; streaming; DASH; HAS; QoE; MS-SSIM; SSIM; virtual; reality; fetching; VoD; bandwidth; MOS;

    Abstract : Streaming 360° video has become more commonplace with content delivery services such as YouTube having support for it. By its nature, 360° video requires more bandwidth as only a fraction of the image is actually in view, while the user is expecting the same "in view" quality as with a regular video. READ MORE

  6. 5. Real-time Outlier Detection using Unbounded Data Streaming and Machine Learning

    University essay from Luleå tekniska universitet/Datavetenskap

    Author : Emelie Åkerström; [2020]
    Keywords : Outlier Detection; Unbounded Data Streaming; Machine Learning; Clustering; MiniBatchKMeans; LSTM AutoEncoder; Streaming; Network Monitoring;

    Abstract : Accelerated advancements in technology, the Internet of Things, and cloud computing have spurred an emergence of unstructured data that is contributing to rapid growth in data volumes. No human can manage to keep up with monitoring and analyzing these unbounded data streams and thus predictive and analytic tools are needed. READ MORE