Automated detection and forecasting of covid-19 using deep learning techniques: A review
A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Staphylococcus Aureus-Related antibiotic resistance detection using synergy of Surface-Enhanced Raman spectroscopy and deep learning
The pandemic of antibiotic resistance, particularly Staphylococcus aureus-related
resistance, is increasing frighteningly. The recommendation of wrong antibiotic drugs for …
resistance, is increasing frighteningly. The recommendation of wrong antibiotic drugs for …
Addressing data scarcity using audio signal augmentation and deep learning for bolt looseness prediction
N Chelimilla, V Chinthapenta… - Smart Materials and …, 2024 - iopscience.iop.org
Deep learning models such as convolutional neural networks (CNNs) encounter challenges,
including instability and overfitting, while predicting bolt looseness in data-scarce scenarios …
including instability and overfitting, while predicting bolt looseness in data-scarce scenarios …
Enhanced label constrained contrastive learning for chromosome optical microscopic image classification
Y Zhao, G Song, P Wang - Biomedical Signal Processing and Control, 2024 - Elsevier
Karyotyping analysis, an indispensable means of diagnosing genetic diseases in clinical
practice, entails a highly intricate process of chromosome classification. Automatic …
practice, entails a highly intricate process of chromosome classification. Automatic …
[HTML][HTML] A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
B Hu, Y Wang, J Mu - Mathematical Biosciences and Engineering, 2024 - aimspress.com
Recently, fuzzy dispersion entropy (DispEn) has attracted much attention as a new nonlinear
dynamics method that combines the advantages of both DispEn and fuzzy entropy …
dynamics method that combines the advantages of both DispEn and fuzzy entropy …
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models
A Shoeibi, M Khodatars, H Alinejad-Rorky… - … Work-Conference on …, 2024 - Springer
Schizophrenia (SZ) is a multifaceted mental disorder that typically emerges in early
adulthood, characterized by a spectrum of physiological and cognitive deficits …
adulthood, characterized by a spectrum of physiological and cognitive deficits …
RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena
The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the
resilience of electrical networks against extreme weather events and associated risks …
resilience of electrical networks against extreme weather events and associated risks …