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 …

A holistic overview of deep learning approach in medical imaging

R Yousef, G Gupta, N Yousef, M Khari - Multimedia Systems, 2022 - Springer
Medical images are a rich source of invaluable necessary information used by clinicians.
Recent technologies have introduced many advancements for exploiting the most of this …

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

A Jaiswal, N Gianchandani, D Singh… - Journal of …, 2021 - Taylor & Francis
Deep learning models are widely used in the automatic analysis of radiological images.
These techniques can train the weights of networks on large datasets as well as fine tuning …

Deep transfer learning based classification model for COVID-19 disease

Y Pathak, PK Shukla, A Tiwari, S Stalin, S Singh - Irbm, 2022 - Elsevier
The COVID-19 infection is increasing at a rapid rate, with the availability of limited number of
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …

Multi-disease prediction based on deep learning: a survey

S **e, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

F Ahmed, S Abbas, A Athar, T Shahzad, WA Khan… - Scientific Reports, 2024 - nature.com
A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced
quality of life from urinary system blockages. While medical experts can interpret kidney …

A disaster management framework using Internet of Things‐based interconnected devices

K Sharma, D Anand, M Sabharwal… - Mathematical …, 2021 - Wiley Online Library
The advanced technology Internet of Things (IoT) visualizes a worldwide, that is, internally
connected, networks of smart physical entities. IoT is a promising technology used in several …

Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images

N Kumar, M Gupta, D Gupta, S Tiwari - Journal of ambient intelligence and …, 2023 - Springer
Around the world, more than 250 countries are affected by the COVID-19 pandemic, which is
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …

The fusion of deep learning and fuzzy systems: A state-of-the-art survey

Y Zheng, Z Xu, X Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Deep learning presents excellent learning ability in constructing learning model and greatly
promotes the development of artificial intelligence, but its conventional models cannot …

Cognitive load management in mobile learning systems: principles and theories

B Curum, KK Khedo - Journal of Computers in Education, 2021 - Springer
With the widespread adoption of mobile technologies, mobile-assisted learning is gaining
lots of momentum. This new learning paradigm promotes education across different …