ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration

AMM Kasmaee, A Ataei, SV Moravvej… - Physiological …, 2024 - iopscience.iop.org
Objective. Myocarditis poses a significant health risk, often precipitated by viral infections
like coronavirus disease, and can lead to fatal cardiac complications. As a less invasive …

Building Energy Efficiency through Advanced Regression Models and Metaheuristic Techniques for Sustainable Management

H Khosravi, H Sahebi, I Ahmed - arXiv preprint arXiv:2305.08886, 2023 - arxiv.org
In the context of global sustainability, buildings are significant consumers of energy,
emphasizing the necessity for innovative strategies to enhance efficiency and reduce …

A Novel Method for Myocardial Image Classification using Data Augmentation

Q kun Zhu - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Myocarditis is an important public health concern since it can cause heart failure and abrupt
death. It can be diagnosed with magnetic resonance imaging (MRI) of the heart, a non …

A pilot study for depression detection during COVID-19 using Stroop test

A Prabha, J Yadav, A Rani… - 2021 8th International …, 2021 - ieeexplore.ieee.org
The Corona virus disease 2019 (COVID-19) pandemic has caused substantial increase in
distress among people all over the world. This work aims to study depression during the …

Desarrollo y evaluación de experimentos de psicología cognitiva en un sistema brain-computer interface no invasivo

M Almanza Alonso - 2022 - uvadoc.uva.es
En 1929 Hans Berger desarrolló el electroencefalograma (EEG). Las ondas cerebrales,
hasta entonces desconocidas, fueron investigadas a lo largo del siglo XX, siendo un gran …