RansomListener: Ransom call sound investigation using LSTM and CNN Architectures

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Detalles Bibliográficos
Autores principales:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Otros Autores:	Milon, Md.Iqbal Hossain
Formato:	Tesis
Lenguaje:	en_US
Publicado:	Brac University 2021
Materias:	Convolution AlexNET VGG16 LSTM Neural Network
Acceso en línea:	http://hdl.handle.net/10361/14804

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