Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

M Gheisari, F Ebrahimzadeh, M Rahimi… - CAAI Transactions …, 2023 - Wiley Online Library
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review

M Gheisari, M Ghaderzadeh, H Li, T Taami… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …

Efficient model for coronary artery disease diagnosis: a comparative study of several machine learning algorithms

A Garavand, C Salehnasab… - Journal of …, 2022 - Wiley Online Library
Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature

OP Chatzipanagiotou, C Loukas… - Journal of …, 2024 - Wiley Online Library
Abstract Background and Aim Hepatocellular carcinoma (HCC) diagnosis mainly relies on
its pathognomonic radiological profile, obviating the need for biopsy. The project of …

Prioritizing factors for the adoption of IoT-based smart irrigation in Saudi Arabia: a GRA/AHP approach

A Jabbari, TA Teli, F Masoodi, FA Reegu… - Frontiers in …, 2024 - frontiersin.org
The irrigation sector in the Kingdom of Saudi Arabia (KSA) confronts a range of obstacles,
such as scarce water resources, the elevated salinity and alkalinity of irrigation water …

Deep learning methods for interpretation of pulmonary CT and X-ray images in patients with COVID-19-related lung involvement: a systematic review

MH Lee, A Shomanov, M Kudaibergenova… - Journal of Clinical …, 2023 - mdpi.com
SARS-CoV-2 is a novel virus that has been affecting the global population by spreading
rapidly and causing severe complications, which require prompt and elaborate emergency …

[HTML][HTML] Toward artificial intelligence (AI) applications in the determination of COVID-19 infection severity: considering AI as a disease control strategy in future …

M Ghaderzadeh, F Asadi, N Ramezan Ghorbani… - Iranian Journal of Blood …, 2023 - ijbc.ir
Background: To guarantees patient survival and reduce the consumption of pharmaceutical
and medical resources, an accurate diagnosis and assessment of COVID-19 severity are …

[HTML][HTML] AI-driven malaria diagnosis: developing a robust model for accurate detection and classification of malaria parasites

Z Fasihfar, H Rokhsati, H Sadeghsalehi… - Iranian Journal of Blood …, 2023 - ijbc.ir
Background: Malaria remains a significant global health problem, with a high incidence of
cases and a substantial number of deaths yearly. Early identification and accurate diagnosis …

Application of genomic signal processing as a tool for high-performance classification of SARS-CoV-2 variants: a machine learning-based approach

S Kar, M Ganguly - Soft Computing, 2024 - Springer
From the beginning of COVID-19 pandemic, numerous mutants of SARS-CoV-2 have since
been evolved owing to high transmissibility and virulence. Due to the limited effectiveness of …

CoroTrans-CL: A novel transformer-based continual deep learning model for image recognition of coronavirus infections

B Wang, D Zhang, Z Tian - Electronics, 2023 - mdpi.com
The rapid evolution of coronaviruses in respiratory diseases, including severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a significant challenge for deep …