The application of machine learning and acoustic signal processing to detecting and predicting important events in the lifecycle of honeybee colonies

Stenford Ruvinga

The application of machine learning and acoustic signal processing to detecting and predicting important events in the lifecycle of honeybee colonies

Stenford Ruvinga

Research output: Thesis › Doctoral thesis

Original language	English
Qualification	Doctor of Philosophy (PhD)
Awarding Institution	Kingston University
Supervisors/Advisors	Hunter, Gordon, Supervisor Duran, Olga, Supervisor Nebel, Jean-Claude, Supervisor, External person Busquets, Rosa, Supervisor
Publication status	Accepted/In press - 14 Oct 2024

Bibliographical note

Physical Location: Online only

Keywords

Computer science and informatics

PhD type

Standard route

Cite this

@phdthesis{9e0a8d4cd0814a458236b3b732d7c9b8,

title = "The application of machine learning and acoustic signal processing to detecting and predicting important events in the lifecycle of honeybee colonies",

keywords = "Computer science and informatics",

author = "Stenford Ruvinga",

note = "Physical Location: Online only",

year = "2024",

month = oct,

day = "14",

language = "English",

school = "Kingston University",

}