A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques

S Abbasi Habashi, M Koyuncu, R Alizadehsani - Diagnostics, 2023 - mdpi.com
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), causing a disease
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …

RLMD‐PA: a reinforcement learning‐based myocarditis diagnosis combined with a population‐based algorithm for pretraining weights

SV Moravvej, R Alizadehsani, S Khanam… - Contrast Media & …, 2022 - Wiley Online Library
Myocarditis is heart muscle inflammation that is becoming more prevalent these days,
especially with the prevalence of COVID‐19. Noninvasive imaging cardiac magnetic …

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

L Hong, MH Modirrousta… - CAAI Transactions …, 2023 - Wiley Online Library
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …

An improved de algorithm to optimise the learning process of a bert-based plagiarism detection model

SV Moravvej, SJ Mousavirad, D Oliva… - 2022 IEEE Congress …, 2022 - ieeexplore.ieee.org
Plagiarism detection is a challenging task, aiming to identify similar items in two documents.
In this paper, we present a novel approach to automatic plagiarism detection that combines …

Efficient GAN-based method for extractive summarization

SV Moravvej, MJ Maleki Kahaki… - Journal of Electrical …, 2022 - jecei.sru.ac.ir
Background and Objectives: Text summarization plays an essential role in reducing time
and cost in many domains such as medicine, engineering, etc. On the other hand, manual …

An LSTM-based plagiarism detection via attention mechanism and a population-based approach for pre-training parameters with imbalanced classes

SV Moravvej, SJ Mousavirad, MH Moghadam… - … , ICONIP 2021, Sanur …, 2021 - Springer
Plagiarism is one of the leading problems in academic and industrial environments, which
its goal is to find the similar items in a typical document or source code. This paper proposes …

Myocarditis diagnosis: a method using mutual learning-based abc and reinforcement learning

S Danaei, A Bostani, SV Moravvej… - 2022 IEEE 22nd …, 2022 - ieeexplore.ieee.org
Myocarditis occurs when the heart muscle becomes inflamed and inflammation occurs when
your body's immune system responds to infections. It can be diagnosed using cardiac …

RLAS‐BIABC: A Reinforcement Learning‐Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm

H Gharagozlou, J Mohammadzadeh… - Computational …, 2022 - Wiley Online Library
Answer selection (AS) is a critical subtask of the open‐domain question answering (QA)
problem. The present paper proposes a method called RLAS‐BIABC for AS, which is …

MLP-RL-CRD: diagnosis of cardiovascular risk in athletes using a reinforcement learning-based multilayer perceptron

A Bostani, M Mirzaeibonehkhater… - Physiological …, 2023 - iopscience.iop.org
Objective. Pre-participation medical screening of athletes is necessary to pinpoint
individuals susceptible to cardiovascular events. Approach. The article presents a …

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 …