Analysing neural network models for detecting panic attacks with uncertainty analysis

Analysing neural network models for detecting panic attacks with uncertainty analysis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografiske detaljer
Main Authors:	Tahmid, Ahnaf, Zamil, Rafsan, Mubin, MD. Muhimenul, Mohammad, Nafis
Andre forfattere:	Noor, Jannatun
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Uncertainty analysis Neural network Monte-Carlo dropout Panic attack Neural networks (Computer science)
Online adgang:	http://hdl.handle.net/10361/22773

Lignende værker

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af: Islam, Md. Farhadul, et al.
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ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
af: Bhuiyan, Abir Ahammed, et al.
Udgivet: (2024)

Sequential Monte Carlo methods in practice /
Udgivet: (2001)

A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
af: Kamal, Marzuk M., et al.
Udgivet: (2010)

Quantum Monte Carlo methods in condensed matter physics /
Udgivet: (1998)

Efficient approach for reliability evaluation of distribution system considering momentary interruption
af: Ahmed, Tanjil, et al.
Udgivet: (2021)

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af: Das, Robat, et al.
Udgivet: (2019)

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af: Critcher, C.

Moral uncertainty /
af: MacAskill, William

Pneumonia Disease detection using the convolutional neural network
af: Ashrafee, Md. Iftid, et al.
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An introduction to neural networks /
af: Anderson, James A.
Udgivet: (1995)

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af: Chowdhury, Iftekhar Kabir, et al.
Udgivet: (2022)

Mitigating DDoS attacks using a resource sharing network
af: Khan, Farabi Fardin, et al.
Udgivet: (2022)

Deep 3D convolutional neural network in early detection of Lung cancer
af: Hossain, Khandoker Jobayer, et al.
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af: Nasim, Ahmed Zohair, et al.
Udgivet: (2020)

Fundamentals of neural networks : architectures, algorithms, and applications /
af: Fausett, Laurene V.
Udgivet: (1994)

Analysis on IOT Botnet and DDOS attack
af: Nur, Md. Walid Bin
Udgivet: (2018)

Neural networks : a comprehensive foundation /
af: Haykin, Simon S., 1931-
Udgivet: (1999)

Tsunami source uncertainty estimation: the 2011 Japan tsunami
af: Dettmer, Jan, et al.
Udgivet: (2016)

Intrusion detection system for various IoT attacks on MQTT protocol
af: Farhan, et al.
Udgivet: (2022)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
af: Khilji, Ishfaque Qamar, et al.
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Brain tumor detection with convolutional neural network
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Real time performance analysis on DDoS attack detection using machine learning
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Visual speech recognition using artificial neural networking
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Deepfake detection using neural networks
af: Sakib, Sadman, et al.
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Malware Detection Using Neural Network
af: Kayum, Syed Irfan, et al.
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Detection of handwritten text using convolutional neural network
af: Jasim, Rabib Bin, et al.
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The Impact of Political Uncertainty on Asset Prices : The Case of the United Kingdom's EU Membership Referendum.
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Bangla license plate recognition using convolutional neural networks (CNN)
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Fundamentals of artificial neural networks /
af: Hassoun, Mohamad H.
Udgivet: (1995)

Fuzzy-neural control : principles, algorithms, and applications /
af: Nie, Junhong
Udgivet: (1995)

Exploring deep features: deeper fully convolutional neural network for image segmentation
af: Kamran, Sharif Amit, et al.
Udgivet: (2017)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
af: Ishrak, Gazi Hasin, et al.
Udgivet: (2022)

Segmentation based Kidney Tumor Classification using Deep Neural Network
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Audio recognition using feed forward neural network optimized by principle component analysis
af: Momo, Nusrat Suzana, et al.
Udgivet: (2017)

Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
af: Shahir, Rafiad Sadat, et al.
Udgivet: (2024)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
af: Mahbub, Riasat, et al.
Udgivet: (2022)