Essays about: "music internet"

Showing result 11 - 15 of 79 essays containing the words music internet.

  1. 11. Where do Swedish Senior High School students learn most of the English that they know? : Swedish Senior High School students’ beliefs about learning English outside the classroom versus inside the classroom

    University essay from Högskolan Dalarna/Engelska

    Author : Anna Steyn; [2019]
    Keywords : Extramural English; second language acquisition; gender and language learning; out-of-school learning;

    Abstract : The aim of this study is to investigate Swedish senior high school students’ Extramural English (EE) activities and their beliefs about learning English inside and outside of the classroom. EE is defined as English language activities that learners are engaged in outside the classroom, and includes activities such as listening to music, reading, writing, speaking, surfing the Internet, playing computer games, watching TV, YouTube and movies (Sundqvist, 2009, p. READ MORE

  3. 12. Application of LabVIEW and myRIO to voice controlled home automation

    University essay from Uppsala universitet/Signaler och System

    Author : Tim Lindstål; Daniel Marklund; [2019]
    Keywords : speech recognition; home automation; labview; myrio; amazon alexa; mel frequency cepstral coefficients; dynamic time warping;

    Abstract : The aim of this project is to use NI myRIO and LabVIEW for voice controlled home automation. The NI myRIO is an embedded device which has a Xilinx FPGA and a dual-core ARM Cortex-A9processor as well as analog input/output and digital input/output, and is programmed with theLabVIEW, a graphical programming language. READ MORE

  4. 13. Towards a new generation of movie recommender systems: A mood based approach

    University essay from Uppsala universitet/Informationssystem

    Author : Niklas Wietreck; [2018]
    Keywords : Recommender Systems; Machine Learning; Mood;

    Abstract : The emergence of the content overloaded internet creates a lot of new challengesfor users and service providers a like. To minimize the displayed amount of contentlike movies, music, or other products service providers like Netflix or Amazonare using recommender systems which aim to guide the user trough the availableinformation. READ MORE

  5. 14. Optimized Codebook Based Hybrid Beamforming

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Juan Vidal Alegria; [2018]
    Keywords : UE; beamforming; codebook; phased array; antennas; detection; estimation; angle of arrival; 5G.; Technology and Engineering;

    Abstract : In this thesis we research beamforming capabilities of the UEs equipped with several antennas in a 5G scenario. We define a system model based on the use of phase codebooks that allow to change the radiation patterns of the arrays of antennas installed in the UE. READ MORE

  6. 15. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Oktay Bahceci; [2017]
    Keywords : Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding;

    Abstract : Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. READ MORE