<div dir="ltr"><div dir="ltr"><div>Dear All,<div><div dir="ltr"><div style="font-family:inherit;background-color:transparent;background-image:inherit;background-position:inherit;background-size:inherit;background-repeat:inherit;background-origin:inherit;background-clip:inherit;border-right:inherit;font-size:1.375rem;line-height:28px;margin:0px;padding:0px"><span style="background-color:transparent;font-size:small;font-family:inherit">You are cordially invited to the Weekly Online Seminar “Analysis and Applied Mathematics” on </span><span style="background-color:transparent;font-family:inherit;font-size:1.375rem"> </span></div><div style="font-family:inherit;background-color:transparent;background-image:inherit;background-position:inherit;background-size:inherit;background-repeat:inherit;background-origin:inherit;background-clip:inherit;border-right:inherit;font-size:1.375rem;line-height:28px;margin:0px;padding:0px"><b style="font-size:small">Date</b><span style="font-size:small">: Tuesday, January 14, 2025 </span></div></div><div dir="ltr"><b>Time:</b> 14.00-15.00 (Istanbul) = 13.00-14.00 (Ghent) = 16.00-17.00 (Almaty)<br><b>Place:</b> Zoom link: <a href="https://us02web.zoom.us/j/6678270445?pwd=SFNmQUIvT0tRaHlDaVYrN3l5bzJVQT09" rel="noreferrer" target="_blank">https://us02web.zoom.us/j/6678270445?pwd=SFNmQUIvT0tRaHlDaVYrN3l5bzJVQT09</a>, Conference ID: 667 827 0445, Access code: 1 </div><div dir="ltr"> </div><b>Speaker: </b><span style="background-color:transparent;font-family:inherit"> <b>AL Hussein Basil Yaseen Alhllawi </b></span></div><div><span style="background-color:transparent;font-family:inherit">Near East University, Nicosia, North Cyprus </span></div><div><b>Title: </b><span style="background-color:transparent;font-family:inherit">Ensemble deep learning models for the classification of
atopic and seborrheic dermatitis</span><font color="#515151" face="Montserrat, Cambria, Georgia, sans-serif"><span style="font-size:16px;background-color:rgb(234,236,238)">.</span></font> </div><div><b>Abstract:</b> 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.</div><div><div><div dir="ltr"> <b>Abstracts and forthcoming talks can be found on our webpage</b></div><div dir="ltr"><div><div><div><div><div><a href="https://sites.google.com/view/aam-seminars" rel="noreferrer noreferrer" target="_blank">https://sites.google.com/view/aam-seminars</a><br>With my best wishes</div></div></div></div></div></div></div></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div style="font-size:12.8px"><b style="font-size:12.8px">Prof. Dr. Allaberen Ashyralyev </b></div><div><span style="font-size:small"><b>Department of Mathematics, Bahcesehir University,</b></span><b>34349</b><span style="font-size:small"><b>, Istanbul, Turkiye</b></span><b style="font-size:12.8px"> </b></div><div><div style="font-size:12.8px"><span style="font-size:12.8px"><b>Peoples' Friendship University of Russia (RUDN University),</b></span><b style="color:rgb(51,51,51);font-family:arial,helvetica,sans-serif;font-size:13px"> Ul Miklukho Maklaya 6, Moscow 117198, Russian Federation </b></div><div style="font-size:12.8px"><b style="font-size:12.8px">Institute of Mathematics and Mathematical Modelling, 050010, Almaty, Kazakhstan</b></div><div style="font-size:12.8px"><b style="font-size:12.8px">e-mail: <a href="mailto:allaberen.ashyralyev@neu.edu.tr" style="color:rgb(17,85,204)" target="_blank">allaberen.ashyralyev@bau.edu.tr</a> and </b><b style="font-size:12.8px"><a href="mailto:aallaberen@gmail.com" style="color:rgb(17,85,204)" target="_blank">aallaberen@gmail.com</a> </b></div><div style="font-size:12.8px"><b style="font-size:12.8px"> </b><a href="http://akademik.bahcesehir.edu.tr/web/allaberenashyralyev" style="color:rgb(0,86,179);margin:0px;padding:0px;border:0px;font-stretch:inherit;font-size:14px;line-height:inherit;font-family:Roboto,sans-serif;vertical-align:baseline" target="_blank">http://akademik.bahcesehir.edu.tr/web/allaberenashyralyev</a></div><div><p class="MsoNormal"><a href="https://sites.google.com/view/aam-seminars" target="_blank">https://sites.google.com/view/aam-seminars</a></p><p class="MsoNormal"><a href="https://ejaam.org/editorial.html" target="_blank">https://ejaam.org/editorial.html</a><br></p><p class="MsoNormal"><span style="font-size:12.8px"><b><u><a href="https://icaam-online.org/" target="_blank">https://icaam-online.org/</a></u></b></span><br></p></div></div><div><font color="#1155cc"><span style="font-size:12.8px"><b><a href="https://www.genealogy.math.ndsu.nodak.edu/id.php?id=95872&fChrono=1" target="_blank">https://www.genealogy.math.ndsu.nodak.edu/id.php?id=95872&fChrono=1<br></a></b></span><br></font></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
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