Meta-heuristic algorithm-tuned neural network for breast cancer diagnosis using ultrasound images
Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …
globe. Early diagnosis is the only way to increase the treatment options which then …
A comparative performance assessment of optimized multilevel ensemble learning model with existing classifier models
To predict the class level of any classification problem, predictive models are used and
mostly a single predictive model is built to predict the class level of any classification …
mostly a single predictive model is built to predict the class level of any classification …
[HTML][HTML] Investigation of fractal-fractional order model of COVID-19 in Pakistan under Atangana-Baleanu Caputo (ABC) derivative
M Arfan, H Alrabaiah, MU Rahman, YL Sun… - Results in Physics, 2021 - Elsevier
This manuscript addressing the dynamics of fractal-fractional type modified SEIR model
under Atangana-Baleanu Caputo (ABC) derivative of fractional order y and fractal dimension …
under Atangana-Baleanu Caputo (ABC) derivative of fractional order y and fractal dimension …
Improved COVID-19 detection with chest x-ray images using deep learning
The novel coronavirus disease, which originated in Wuhan, developed into a severe public
health problem worldwide. Immense stress in the society and health department was …
health problem worldwide. Immense stress in the society and health department was …
[HTML][HTML] A new numerical investigation of fractional order susceptible-infected-recovered epidemic model of childhood disease
The susceptible-infected-recovered (SIR) epidemic model of childhood disease is analyzed
in the present framework with the help of q-homotopy analysis transform method (q-HATM) …
in the present framework with the help of q-homotopy analysis transform method (q-HATM) …
Toward integrated CNN-based sentiment analysis of tweets for scarce-resource language—Hindi
Linguistic resources for commonly used languages such as English and Mandarin Chinese
are available in abundance, hence the existing research in these languages. However …
are available in abundance, hence the existing research in these languages. However …
The use of artificial neural networks to diagnose Alzheimer's disease from brain images
Since Alzheimer's disease (AD) occurs in multiple stages of cognitive impairment, its early
diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the …
diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the …
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
The use of machine learning (ML) models have become a crucial factor in the growing field
of healthcare, ushering in a new era of medical research and diagnosis. This study …
of healthcare, ushering in a new era of medical research and diagnosis. This study …
Modeling and numerical analysis of fractional order hepatitis B virus model with harmonic mean type incidence rate
R Zarin - Computer Methods in Biomechanics and Biomedical …, 2023 - Taylor & Francis
A mathematical epidemiological model for the transmission of Hepatitis B virus in the frame
of fractional derivative with harmonic mean type incidence rate is proposed in this article …
of fractional derivative with harmonic mean type incidence rate is proposed in this article …
Numerical and bifurcation analysis of SIQR model
In this mathematical research paper, we analyze in detail the basic SIQR epidemic model.
We calculate its reproductive value R 0, equilibrium points and analyze the stability of the …
We calculate its reproductive value R 0, equilibrium points and analyze the stability of the …