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.

Manylion Llyfryddiaeth
Prif Awduron:	Tahmid, Ahnaf, Zamil, Rafsan, Mubin, MD. Muhimenul, Mohammad, Nafis
Awduron Eraill:	Noor, Jannatun
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Uncertainty analysis Neural network Monte-Carlo dropout Panic attack Neural networks (Computer science)
Mynediad Ar-lein:	http://hdl.handle.net/10361/22773

Eitemau Tebyg

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Moral panics and the media /
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Moral uncertainty /
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Pneumonia Disease detection using the convolutional neural network
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Semantic text extraction from CAPTCHA using Neural Networking
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Tsunami source uncertainty estimation: the 2011 Japan tsunami
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Intrusion detection system for various IoT attacks on MQTT protocol
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Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
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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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An in depth analysis of neural network with application in finance
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Crime scene prediction by detecting threatening objects using convolutional neural network
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Malware Detection Using Neural Network
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Detection of handwritten text using convolutional neural network
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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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