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.

Xehetasun bibliografikoak
Egile Nagusiak:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Beste egile batzuk:	Milon, Md.Iqbal Hossain
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2021
Gaiak:	Convolution AlexNET VGG16 LSTM Neural Network
Sarrera elektronikoa:	http://hdl.handle.net/10361/14804

Antzeko izenburuak

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