Synergizing the enhanced RIME with fuzzy K-nearest neighbor for diagnose of pulmonary hypertension
X Yu, W Qin, X Lin, Z Shan, L Huang, Q Shao… - Computers in Biology …, 2023 - Elsevier
Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …
[PDF][PDF] Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies
SARS-CoV-2 caused the first severe pandemic of the digital era. Computational approaches
have been ubiquitously used in an attempt to timely and effectively cope with the resulting …
have been ubiquitously used in an attempt to timely and effectively cope with the resulting …
[HTML][HTML] Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID‐19 Diagnostic Model
Due to the COVID‐19 pandemic, computerized COVID‐19 diagnosis studies are
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …
Self-supervised deep convolutional neural network for chest X-ray classification
Chest radiography is a relatively cheap, widely available medical procedure that conveys
key information for making diagnostic decisions. Chest X-rays are frequently used in the …
key information for making diagnostic decisions. Chest X-rays are frequently used in the …
[HTML][HTML] Collaborative training of medical artificial intelligence models with non-uniform labels
S Tayebi Arasteh, P Isfort, M Saehn… - Scientific Reports, 2023 - nature.com
Due to the rapid advancements in recent years, medical image analysis is largely dominated
by deep learning (DL). However, building powerful and robust DL models requires training …
by deep learning (DL). However, building powerful and robust DL models requires training …
[HTML][HTML] Improved colony predation algorithm optimized convolutional neural networks for electrocardiogram signal classification
Recently, swarm intelligence algorithms have received much attention because of their
flexibility for solving complex problems in the real world. Recently, a new algorithm called …
flexibility for solving complex problems in the real world. Recently, a new algorithm called …
[HTML][HTML] Advanced slime mould algorithm incorporating differential evolution and Powell mechanism for engineering design
The slime mould algorithm (SMA) is a population-based swarm intelligence optimization
algorithm that simulates the oscillatory foraging behavior of slime moulds. To overcome its …
algorithm that simulates the oscillatory foraging behavior of slime moulds. To overcome its …
Teaching–learning guided salp swarm algorithm for global optimization tasks and feature selection
The basic salp swarm algorithm (SSA) is a novel nature-inspired swarm intelligence
optimization algorithm based on the foraging behavior of salp individuals in the deep sea …
optimization algorithm based on the foraging behavior of salp individuals in the deep sea …
A novel snore detection and suppression method for a flexible patch with MEMS microphone and accelerometer
C He, J Tan, X Jian, G Zhong, H Wu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Sleep apnea impacts more and more people all over the world, and obstructive sleep apnea
of which is the most frequent. Hence, research on snoring detection and related suppression …
of which is the most frequent. Hence, research on snoring detection and related suppression …