Essays about: "Music classification"
Showing result 11 - 15 of 42 essays containing the words Music classification.
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11. RayTracing Analysis and Simulator Design of Unmanned Aerial Vehicle Communication and Detection System in Urban Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, unmanned aerial vehicles (UAV), also called drones, have experienced a rapid increase, which leads to the concern of illegal use of them. Passive RF is one of the effective ways to detect drones by receiving drones’ communication signals. READ MORE
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12. Analysis, Implementation and Evaluation of Direction Finding Algorithms using GPU Computing
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Direction Finding (DF) algorithms are used by the Swedish Defence Research Agency (FOI) in the context of electronic warfare against radio. Parallelizing these algorithms using a Graphics Processing Unit (GPU) might improve performance, and thereby increase military support capabilities. READ MORE
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13. Banger for the Buck : Predicting Growth of Music Tracks using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advent of music streaming has made it increasingly important for actors in the music industry to understand if tracks are going to succeed or not. This study investigates if it is possible to accurately classify the growth of the listener base of a music track based on multivariate time series with listener behavior data. READ MORE
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14. Deep Learning for Positioning with MUSIC
University essay from Linköpings universitet/KommunikationssystemAbstract : Estimating an object’s position can be of great interest in several applications,and there exists many different methods to do so. One approach is with Directionof Arrival (DOA) measurements from receivers to use the triangulation techniqueto estimate one or more transmitter’s position. READ MORE
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15. Multi-objective optimization for model selection in music classification
University essay from KTH/Optimeringslära och systemteoriAbstract : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. READ MORE