Anomaly detection for geological carbon sequestration monitoring

Interpreting Deviant Heart Patterns: Applying MobileNet CNN Autoencoder for ECG Anomaly Detection

M Agarwal, KS Gill, N Thapliyal… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
In order to identify abnormalities in electrocardiogram (ECG) data, this research study uses
the PTB Diagnostic ECG Database to examine the application of MobileNet (CNN) …
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Probing Aberrant Heart Rhythms Utilizing CNN Autoencoders for Enhanced ECG Anomaly Recognition

P Kaushik, KS Gill, S Chattopadhyay… - 2024 7th International …, 2024 - ieeexplore.ieee.org
An application of Convolutional Neural Network (CNN) Autoencoders for anomaly
identification in electrocardiogram (ECG) data is investigated in this study using the PTB …
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Unveiling Irregular Heart Rhythms: Utilizing a Pretrained ResNet50 Convolutional Neural Network Autoencoder Strategy for Detecting Anomalies in ECG Signals

M Agarwal, KS Gill, P Aggarwal… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
This study examines the application of ResNet50 (CNN) Autoencoders for identifying
abnormalities in electrocardiogram (ECG) data using the PTB Diagnostic ECG Database …
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Decoding Abnormal Heart Patterns: A CNN Autoencoder Approach to ECG Anomaly Detection

M Agarwal, KS Gill, P Aggarwal… - 2024 Asia Pacific …, 2024 - ieeexplore.ieee.org
This research study investigates the use of Convolutional Neural Network (CNN)
Autoencoders for detecting anomalies in electrocardiogram (ECG) data utilising the PTB …
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Navigating Cardiac Complexity using CNN Autoencoder Solutions for Detecting Abnormal Heart Signals

M Agarwal, K Rajput, KS Gill… - 2024 OPJU International …, 2024 - ieeexplore.ieee.org
This study examines the application of Convolutional Neural Network (CNN) Autoencoders
in identifying abnormalities in electrocardiogram (ECG) data using the PTB Diagnostic ECG …
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Decoding Abnormal Heart Patterns: ECG Anomaly Detection Using MobileNet50 CNN Autoencoder Method

M Agarwal, KS Gill, S Malhotra… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In this research investigation, the application of Convolutional Neural Network (MobileN
et50) Autoencoders is explored for the detection of anomalies in electrocardiogram (ECG) …
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Enhanced subsurface estimation and uncertainty modeling through data science and engineering physics

JL Hernandez Mejia - 2024 - repositories.lib.utexas.edu
Subsurface characterization is crucial for the exploration, development, and management of
energy resources, providing essential information about geological formations. However …
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