Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform-Based CNN Model

Autor: Saroj Kumar pandey, Anupam Shukla, Surbhi Bhatia, Thippa Reddy Gadekallu, Ankit Kumar, Arwa Mashat, Mohd Asif Shah, Rekh Ram Janghel

Publikováno v: International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-14 (2023)

Abstract In India, over 25,000 people have died from cardiovascular annually over the past 4 years , and over 28,000 in the previous 3 years. Most of the deaths nowadays are mainly due to cardiovascular diseases (CVD). Arrhythmia is the leading cause

Externí odkaz: https://doaj.org/article/63108d2c6cd64af6a013b7b2c114d6b3

ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans

Autor: Mian Muhammad Sadiq Fareed, Shahid Zikria, Gulnaz Ahmed, Mui-Zzud-Din, Saqib Mahmood, Muhammad Aslam, Syeda Fizzah Jillani, Ahmad Moustafa, Muhammad Asad

Publikováno v: IEEE Access, Vol 10, Pp 96930-96951 (2022)

Alzheimer’s Disease (AD) is a neurological brain disorder marked by dementia and neurological dysfunction that affects memory, behavioral patterns, and reasoning. Alzheimer’s disease is an incurable disease that primarily affects people over 40.

Externí odkaz: https://doaj.org/article/46ff270fda384bdf8bbe5cb13e293c10

Safety risk evaluations of deep foundation construction schemes based on imbalanced data sets

Autor: Peisong Gong, Haixiang Guo, Yuanyue Huang, Shengyu Guo

Publikováno v: Journal of Civil Engineering and Management, Vol 26, Iss 4 (2020)

Safety risk evaluations of deep foundation construction schemes are important to ensure safety. However, the amount of knowledge on these evaluations is large, and the historical data of deep foundation engineering is imbalanced. Some adverse factors

Externí odkaz: https://doaj.org/article/b867056a984a40c09e5b2bcb2af28625

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CNN and diffusion MRI's 4th degree rotational invariants for Alzheimer's disease identification

Autor: Bouayed, Aymene Mohammed, Deslauriers-Gauthier, Samuel, Zucchelli, Mauro, Deriche, Rachid

Publikováno v: International Workshop on Learning with Imbalanced Domains: Theory and Applications
International Workshop on Learning with Imbalanced Domains: Theory and Applications, Sep 2022, Grenoble, France

International audience; Recently, a general analytical formula to extract all the Rotation Invariant Features (RIFs) of the diffusion Magnetic Resonance Imaging (dMRI) signal was proposed. The features extracted using this formula represent a general

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::082090a5c8016682e18663309a5298ab
https://hal.science/hal-03740103