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.

Manylion Llyfryddiaeth
Prif Awduron:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Awduron Eraill:	Milon, Md.Iqbal Hossain
Fformat:	Traethawd Ymchwil
Iaith:	en_US
Cyhoeddwyd:	Brac University 2021
Pynciau:	Convolution AlexNET VGG16 LSTM Neural Network
Mynediad Ar-lein:	http://hdl.handle.net/10361/14804

Eitemau Tebyg

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Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
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