SETSCI Conference Proceedings

Publish your Conference Proceedings with SETSCI

SETSCI Conference Proceedings is an open access journal dedicated to publishing findings resulting from conferences, workshops, and similar events. The conference organizers and proceedings editors are responsible for managing the peer-review process and selecting papers for conference proceedings. SETSCI Conference Proceedings provides worldwide availability of conference pages and free access to scientists who remain in the proceedings and whose accessibility is limited.

All proceedings on the SETSCI Conference Proceedings platform are open access and therefore freely available for everyone to read.

eISSN: 2687-5527 DOI: doi.org/10.36287/setsci

Volume 21 (2024)
ITTSCONF2024 - International Trend of Tech Symposium

Views: 19.4K Downloads: 336

Volume 20 (2024)
SIAP2024 - 6th International Symposium on Innovation in Architecture, Planning and Design

Views: 16.1K Downloads: 772

Volume 19 (2024)
ICEEECS2024 - International Conference on Advances in Electrical-Electronics Engineering and Computer Science

Views: 11.1K Downloads: 782

Volume 18 (2024)
SISA2024 - 6th International Symposium on Innovations in Scientific Areas

Views: 96.5K Downloads: 3.8K

Volume 17 (2024)
AICCONF2024 - Cognitive Models and Artificial Intelligence Conference

Views: 37K Downloads: 1.2K

Open Access
Yoğun Bakım Ünitesinde Imogene King’ in Kavramsal Sistem Modeline Göre Bir Kalp Cerrahisi Hastasının Hemşirelik Bakımı: Olgu Sunumu
Ayfer Aksuoğlu, Safiye Yanmış*, Serkan Burç Deşer
Abstract - King’ in Kavramsal Sistem Modeli ile bireyin kendi bakımına katılımı sağlanmakta, yapabileceği kısa ve uzun vadeli hedefler, bu hedeflere ne derece ulaşıldığı ve hedeflere ulaşmadaki eksiklikler belirlenmektedir. Çalışma, bir üni ...

Views: 127.4K Downloads: 1.4K

Open Access
Halk Sağlığı Hemşirelerinin Lgbt Bireylerin Sağlıklı Yaşam Sürdürmelerindeki Rolü
Mehmet Korkmaz*, İlknur Aydın Avcı
Abstract - Lgbt bireylerin diğer bireylerden farklı olan bir sağlık gereksinimleri yoktur. Sağlık hizmetlerinden etkin şekilde yararlanan LGBT bireyler olmasına rağmen birçoğu cinsel yönelimi ya da cinsiyet kimliği yüzünden yaşadığı stigma, ...

Views: 126.3K Downloads: 1.4K

Open Access
The structural, spectroscopic and molecular docking analysis on phosphorusenitrogen compounds
Sultan Erkan*, Burak Tüzün
Abstract - The (9) and (12) compounds are optimized at B3LYP/6-31G(d,p) level in gas phase. The calculated bond length and bond angles are compared with experimental values. Also, the calculated vibrational frequencies are assignment for mentioned compounds a ...

Views: 109.2K Downloads: 1.4K

Open Access
SANAYİ 4.0 YAPILANMASINDA SOSYO-TEKNİK MODEL ÇERÇEVESİNDE YÖNETİMSEL YAKLAŞIM
Naci Atalay Davutoğlu*
Abstract - Endüstri devrimleri, zamana ve yenilik trendlerine uyum sağlamak amacıyla geçmişten günümüze kadar insanoğlu için hep bir zorunluluk olmuş ve üretkenliği devam ettirmek adına yeni arayışlar içerisinde bırakmıştır. Hangi faaliyet ...

Views: 107.6K Downloads: 1.4K

Open Access
SHEPARD FAİREY’NİN AFİŞ TASARIMLARINDA BİR ANLATIM ÖGESİ OLARAK PORTRE KULLANIMI
Fahrettin Geçen*, Tarık Yazar
Abstract - Resim, salt bir sanatsal ifade tarzı olmanın dışında disiplinler arası bilim dallarının yardımcı elemanı olabilmektedir. Bu disiplinler arası alanlardan biri grafik tasarımdır. Farklı anlatım türleri bulunan afiş tasarımlarında do ...

Views: 97.3K Downloads: 1.5K

Open Access
Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
Serkan Savaş*, Nurettin Topaloğlu, Ömer Kazcı, Pınar Nercis Koşar
Abstract - Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising ...

Citations: 9

Open Access
Turizmde Deneyim İnovasyonu: Doğu Ekspresi Örneği
Ali Soylu, Seher Ceylan*, Nuray Selma Özdipçiner
Abstract - Dijitalleşen dünyada teknolojinin insanlığa sunduğu sınırsız iletişim olanakları beraberinde büyük değişimleri de getirmektedir. Dünyaya ilişkin her türlü bilgi ve gelişme kısa sürede paylaşılmakta ve ilgi görmektedir. Bunun y ...

Citations: 6

Open Access
Yeni Ürün Geliştirme Sürecinde X-Y-Z Kuşaklarının Satın Alma Davranışları Üzerine Bir Araştırma
Derya Öztürk*, Ebru Onurlubaş
Abstract - Günümüzde işletmelerin, küresel rekabet, teknolojik yenilikler, ürün yaşam çevriminin kısalması, müşteri profilinde meydana gelen değişimlerden dolayı tüketici davranışlarını iyi analiz ederek müşteri istek ve beklentilerine uy ...

Citations: 5

Open Access
Türkiye’de Tıbbi ve Aromatik Bitkilerin Yetiştiriciliği ve Sürdürülebilir Gelişimi
Mahmut Yıldıztekin*, Hatice Ulusoy, Atilla Levent Tuna
Abstract - Tıbbi ve aromatik bitkiler; gıda, kozmetik, boya, tekstil, ilaç, tarım gibi bir çok alanda kullanılmaktadır. Bu tür endüstriyel kullanımlar için birçok tıbbi ve aromatik bitki türü yetiştirilmektedir, ancak çoğu hala doğadan yabani ...

Citations: 4

Open Access
Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz*, Cemal Yılmaz, Hamdi Tolga Kahraman, Fatih Bayram
Abstract -  In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people an ...

Citations: 4

Last 10 Articles Added
Open Access
Evaluation of Virtual Reality Experience in Electrical and Electronics Education
İpek Atilk*
Abstract - This study aims to examine the feasibility and impact of conducting laboratory experiments, a fundamental component of electrical and electronics engineering education, on a virtual reality (VR)-based platform. The innovative platform, named "VR-EE Lab," provides students the opportunity to perform experiments without the need for a physical labora ...
Open Access
Predictive Analysis of Cross-Cultural Issues in Global Software Development Using AI Techniques
Zohaib  Iqbal*, Gizem Temelcan Ergenecosar
Abstract - Global Software Development (GSD) brings together teams from diverse regions and cultural backgrounds, allowing for the pooling of varied expertise and perspectives. However, this international collaboration often comes with significant challenges, such as communication barriers, trust issues, and differing work practices. These challenges can hind ...
Open Access
Grid-Aware Electric Vehicle Charging Interface Design
Emir Alaca*, Seçil Varbak Neşe
Abstract - Fossil fuels used by traditional internal combustion vehicles today are quite damaging to environment. Because of these fuels, global warming has reached a very dangerous point. However, fossil fuels are gradually depleting. Therefore, it is inevitable that electric vehicles, which are more environmentally friendly, more economical and quieter, wil ...
Open Access
A Test Circuit Design for Robustness Checking of the Power Electronic Components
Muhammed Emin Gügenir*, Esra Arslan, Eyüp Emre Kasap, Emin Demirbaş, Nimet Korkmaz
Abstract - One of the parameters affecting student performance in laboratory courses is whether the used components in the circuit are robust or not. The failure of the used components in the circuit affects the performance outputs of the students, negatively. In this study, it is aimed to design a test circuit that checks the robustness of the power electron ...
Open Access
Prediction of Recurrence of Differentiated Thyroid Cancer with Hybrid SMOTE-Stacking Model
Erkan Akkur, Serkan Cizmecioğulları*, Ahmet Cankat Öztürk
Abstract - Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential to improve patient outcomes and minimize this risk. This study proposes a hybrid model com ...
Open Access
Hyperparameter Optimization of a Faster R-CNN Model For Fault Detection In Quality Control
Abdullah Yüksel, Oğuzhan Karahan*
Abstract - Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted the development of intelligent systems for automated error prediction/detection, mainly ba ...
Open Access
Comparative Analysis of YOLOv5, YOLOv4, and SSD for Aircraft Detection in Airport Environments Using Remote Sensing Data
Hana Marie  Marek, Kvetoslav J. Kostelnikova, Melis Duhter*, Akif Mert  Korol, Hilal Kuzu
Abstract - Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection systems powered by advanced algorithms have become essential to support real-time monitor ...
Open Access
Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis*, Firuze  Adibeli, Ilayda  Boz, Nesli S.  Azdavay
Abstract - The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have severe and often irreversible economic, social, and environmental consequences. The rising fre ...
Open Access
Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay*, Zofia G. Zajac, Hakan M.  Didis, Ilayda Boz
Abstract - This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varying lighting, and high-altitude captures. The necessity for detection methods with high acc ...
Open Access
Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına*, Recep Özdağ
Abstract - The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEMSAP-CNNLSTM model a hybrid architecture combining Convolutional Neural Networks (CNN) and ...
SETSCI 2025
info@set-science.com
Copyright © 2025 SETECH
Tokat Technology Development Zone Gaziosmanpaşa University Taşlıçiftlik Campus, 60240 TOKAT-TÜRKİYE