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.

Opis bibliograficzny
Główni autorzy:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Kolejni autorzy:	Milon, Md.Iqbal Hossain
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2021
Hasła przedmiotowe:	Convolution AlexNET VGG16 LSTM Neural Network
Dostęp online:	http://hdl.handle.net/10361/14804

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