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.

Bibliografski detalji
Glavni autori:	Tahmid, Ahnaf, Zamil, Rafsan, Mubin, MD. Muhimenul, Mohammad, Nafis
Daljnji autori:	Noor, Jannatun
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Uncertainty analysis Neural network Monte-Carlo dropout Panic attack Neural networks (Computer science)
Online pristup:	http://hdl.handle.net/10361/22773

Similar Items

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
od: Islam, Md. Farhadul, i dr.
Izdano: (2024)

Analysis of uncertainty in different neural network structures using monte carlo dropout
od: Islam, Md. Farhadul, i dr.
Izdano: (2024)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
od: Bhuiyan, Abir Ahammed, i dr.
Izdano: (2024)

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

A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
od: Kamal, Marzuk M., i dr.
Izdano: (2010)

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

Efficient approach for reliability evaluation of distribution system considering momentary interruption
od: Ahmed, Tanjil, i dr.
Izdano: (2021)

Learning a deep neural network for predicting phishing website
od: Das, Robat, i dr.
Izdano: (2019)

Moral panics and the media /
od: Critcher, C.

Moral uncertainty /
od: MacAskill, William

Pneumonia Disease detection using the convolutional neural network
od: Ashrafee, Md. Iftid, i dr.
Izdano: (2024)

An introduction to neural networks /
od: Anderson, James A.
Izdano: (1995)

Semantic text extraction from CAPTCHA using Neural Networking
od: Chowdhury, Iftekhar Kabir, i dr.
Izdano: (2022)

Mitigating DDoS attacks using a resource sharing network
od: Khan, Farabi Fardin, i dr.
Izdano: (2022)

Deep 3D convolutional neural network in early detection of Lung cancer
od: Hossain, Khandoker Jobayer, i dr.
Izdano: (2019)

Modelling option prices using neural networks
od: Nasim, Ahmed Zohair, i dr.
Izdano: (2020)

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

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

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

Tsunami source uncertainty estimation: the 2011 Japan tsunami
od: Dettmer, Jan, i dr.
Izdano: (2016)

Intrusion detection system for various IoT attacks on MQTT protocol
od: Farhan, i dr.
Izdano: (2022)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
od: Khilji, Ishfaque Qamar, i dr.
Izdano: (2021)

Brain tumor detection with convolutional neural network
od: Galib, Abrar Tahmid, i dr.
Izdano: (2024)

Real time performance analysis on DDoS attack detection using machine learning
od: Suvra, Debashis Kar, i dr.
Izdano: (2021)

An in depth analysis of neural network with application in finance
od: Tasnim, Noshin, i dr.
Izdano: (2019)

Crime scene prediction by detecting threatening objects using convolutional neural network
od: Nakib, Mohammad, i dr.
Izdano: (2017)

Visual speech recognition using artificial neural networking
od: Sharmili, Nowshin, i dr.
Izdano: (2018)

Deepfake detection using neural networks
od: Sakib, Sadman, i dr.
Izdano: (2021)

Malware Detection Using Neural Network
od: Kayum, Syed Irfan, i dr.
Izdano: (2021)

Detection of handwritten text using convolutional neural network
od: Jasim, Rabib Bin, i dr.
Izdano: (2024)

The Impact of Political Uncertainty on Asset Prices : The Case of the United Kingdom's EU Membership Referendum.
Izdano: (2021)

Bangla license plate recognition using convolutional neural networks (CNN)
od: Rahman, M M Shaifur
Izdano: (2018)

Fundamentals of artificial neural networks /
od: Hassoun, Mohamad H.
Izdano: (1995)

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

Exploring deep features: deeper fully convolutional neural network for image segmentation
od: Kamran, Sharif Amit, i dr.
Izdano: (2017)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
od: Ishrak, Gazi Hasin, i dr.
Izdano: (2022)

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

Audio recognition using feed forward neural network optimized by principle component analysis
od: Momo, Nusrat Suzana, i dr.
Izdano: (2017)

Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
od: Shahir, Rafiad Sadat, i dr.
Izdano: (2024)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
od: Mahbub, Riasat, i dr.
Izdano: (2022)