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.

Bibliografski detalji
Glavni autori:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Daljnji autori:	Milon, Md.Iqbal Hossain
Format:	Disertacija
Jezik:	en_US
Izdano:	Brac University 2021
Teme:	Convolution AlexNET VGG16 LSTM Neural Network
Online pristup:	http://hdl.handle.net/10361/14804

Similar Items

An efficient approach to detect melanoma skin cancer using a custom CNN model
od: Rahman, K.M Saidur, i dr.
Izdano: (2023)

Ransom Island
od: Arceneaux

John Crowe Ransom

A Comparative study on Bengali handwritten character recognition and prediction using CNN
od: Abrar, Muntaqa, i dr.
Izdano: (2021)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
od: Reza, Jamil Ur, i dr.
Izdano: (2023)

RED-LSTM: Real time emotion detection using LSTM
od: Labiba, Mansura Rahman, i dr.
Izdano: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
od: Nirjhor, S M Mahsanul Islam, i dr.
Izdano: (2019)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
od: Iqbal, Shahriar, i dr.
Izdano: (2023)

Identifying brain abnormalities using image processing and CNN models
od: Talukder, Ismat Shehrin, i dr.
Izdano: (2021)

Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
od: Asaduzzaman, i dr.
Izdano: (2021)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i dr.
Izdano: (2021)

A comparative analysis of the different CNN-LSTM model caption generation of medical images
od: Amin, Mahzabin Yasmin Binte, i dr.
Izdano: (2023)

Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
od: Arnob, Raisul Islam, i dr.
Izdano: (2020)

Skin lesion classification using different CNN models
od: Oli, Md. Yahea Sultan
Izdano: (2023)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
od: Nag, Pollock, i dr.
Izdano: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
od: Radiah, Faiza, i dr.
Izdano: (2024)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
od: Haque, Abid Hossain, i dr.
Izdano: (2024)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
od: Bhuiyan, Md Raihanul Islam, i dr.
Izdano: (2024)

The Sound of Listening
od: Metres

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
od: Moon, Nowrin Tasnim, i dr.
Izdano: (2023)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i dr.
Izdano: (2022)

Motion based gesture detection using frame composition LSTM
od: Islam, Ishraqul, i dr.
Izdano: (2023)

Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
od: Khan, Afsana, i dr.
Izdano: (2022)

Intracranial hemorrhage detection using CNN-LSTM fusion model
od: Ahmed, Kazi sabab, i dr.
Izdano: (2022)

Bone age comparison using convolutional neural network
od: Nawaz, Fariha, i dr.
Izdano: (2019)

An efficient deep learning approach to predict heart failure from image data using ejection fraction
od: Tanvir, Nazmul Karim, i dr.
Izdano: (2023)

Deep Learning based Bangla Voice to Braille Character Conversion System
od: Iqbal, Syed Bayes, i dr.
Izdano: (2022)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i dr.
Izdano: (2024)

Voice impersonation detection using LSTM based RNN and explainable AI
od: Barua, Kawshik, i dr.
Izdano: (2022)

Detection of pneumonia from chest X-ray images using machine learning
od: Priya, Afsana Rahman, i dr.
Izdano: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
od: Khisa, Pushpakali, i dr.
Izdano: (2024)

Segmentation based Kidney Tumor Classification using Deep Neural Network
od: Mehedi, Md Humaion Kabir, i dr.
Izdano: (2022)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
od: Dewanjee, Tanmoy, i dr.
Izdano: (2021)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
od: Akhter, Nasrin
Izdano: (2023)

Eve-teasing detection from video footage using computer vision and artificial intelligence
od: Rapheo, Abdullah, i dr.
Izdano: (2023)

Real-time crime detection using convolutional LSTM and YOLOv7
od: Sakiba, Cyrus, i dr.
Izdano: (2023)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
od: Ghose, Swattic, i dr.
Izdano: (2023)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
od: Tasnim, Sadia, i dr.
Izdano: (2023)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
od: Farhan, Rafid, i dr.
Izdano: (2024)

An integrated approach: fake review detection using convBERT-BiLSTM classification
od: Mahmud, Md. Anas, i dr.
Izdano: (2024)