[Turkmath:6949] Weekly Online Seminar "Analysis and Applied Mathematics"

[Allaberen Ashyralyev]

Dear All,
You are cordially invited to the  Weekly Online Seminar “Analysis and
Applied Mathematics” on
*Date*: Tuesday, January 14, 2025
*Time:* 14.00-15.00 (Istanbul) = 13.00-14.00 (Ghent) = 16.00-17.00 (Almaty)
*Place:* Zoom link:
https://us02web.zoom.us/j/6678270445?pwd=SFNmQUIvT0tRaHlDaVYrN3l5bzJVQT09,
Conference ID: 667 827 0445, Access code: 1

*Speaker:  * *AL Hussein Basil Yaseen Alhllawi *
Near East University, Nicosia, North Cyprus
*Title: *Ensemble deep learning models for the classification of atopic and
seborrheic dermatitis.
*Abstract:* Atopic dermatitis (AD) and seborrheic dermatitis (SD) are two
multifactorial skin conditions classified as internal dermatitis, each
exhibiting distinct clinical, epidemiological, and pathological
characteristics. However, their similar appearance presents a significant
challenge in automatic classification using lesion images. In this study,
we employed advanced deep learning models and machine learning algorithms
to address this issue. We utilized Google’s InceptionV3, introduced in
2015, known for its robust image classification performance, along with a
custom Convolutional Neural Network (CNN) specifically designed for our
dataset. ResNet50, a highly efficient model developed by Microsoft Research
Asia in 2016, was also applied, as well as DenseNet (introduced in 2017 by
the University of Oxford) and MobileNet (introduced in 2017 by Google). To
evaluate the models' performance, metrics such as accuracy, sensitivity,
specificity, precision, and F-score were calculated. The detection accuracy
of the models was as follows: 95.49% for the ensemble model combining
InceptionV3, ResNet50, and DenseNet; 93.61% for the ensemble model
combining InceptionV3 and ResNet50; 91.21% for InceptionV3; 81.90% for
MobileNet; 80.50% for DenseNet; and 70.35% for CNN. Streamlit was used to
deploy the program, providing an interactive user interface to facilitate
the image classification process.
 *Abstracts and forthcoming talks can be found on our webpage*
https://sites.google.com/view/aam-seminars
With my best wishes
*Prof. Dr. Allaberen Ashyralyev *
*Department of Mathematics, Bahcesehir University,**34349**, Istanbul,
Turkiye*
*Peoples' Friendship University of Russia (RUDN University),** Ul Miklukho
Maklaya 6, Moscow 117198, Russian Federation *
*Institute of Mathematics and Mathematical Modelling, 050010, Almaty,
Kazakhstan*
*e-mail: allaberen.ashyralyev at bau.edu.tr
<allaberen.ashyralyev at neu.edu.tr> and **aallaberen at gmail.com
<aallaberen at gmail.com> *
 http://akademik.bahcesehir.edu.tr/web/allaberenashyralyev

https://sites.google.com/view/aam-seminars

https://ejaam.org/editorial.html

*https://icaam-online.org/ <https://icaam-online.org/>*

*https://www.genealogy.math.ndsu.nodak.edu/id.php?id=95872&fChrono=1
<https://www.genealogy.math.ndsu.nodak.edu/id.php?id=95872&fChrono=1>*
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