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Android Music Player with the Song Selection by a Device Context
Chmelařová, Gabriela ; Burget, Radek (oponent) ; Rychlý, Marek (vedoucí práce)
This thesis deals with creation of context-aware mobile application that selects and recommends songs of the music player according to the current context of the device. The device context is obtained from the measured values, which are acquired from the integrated device sensors and from other device system values. The selection of the particular song is based on a machine learning model solution, that classifies the context based on the current data and selects the appropriate song belonging to that context.
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Zvuk
Kryl, Ivo ; Schneider, Jiří (oponent) ; Tobola, Ondřej (vedoucí práce)
Hlavním cílem této bakalářské práce je dosažení modernizace vzhledu audiotechniky daného výrobce. Návrh by měl respektovat všechny konstrukční, technologické, funkční a ergonomické zákonitosti.
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Android Music Player with the Song Selection by a Device Context
Chmelařová, Gabriela ; Burget, Radek (oponent) ; Rychlý, Marek (vedoucí práce)
This thesis deals with creation of context-aware mobile application that selects and recommends songs of the music player according to the current context of the device. The device context is obtained from the measured values, which are acquired from the integrated device sensors and from other device system values. The selection of the particular song is based on a machine learning model solution, that classifies the context based on the current data and selects the appropriate song belonging to that context.
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Zvuk
Kryl, Ivo ; Schneider, Jiří (oponent) ; Tobola, Ondřej (vedoucí práce)
Hlavním cílem této bakalářské práce je dosažení modernizace vzhledu audiotechniky daného výrobce. Návrh by měl respektovat všechny konstrukční, technologické, funkční a ergonomické zákonitosti.
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