522 results for “Civil Engineering,Disaster Risk,Team Building”
Research Article
Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001
Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…
Research Article
Open Access Öneri Sistemlerinde Kişilik Özelliklerine Göre Performans ve Popülerlik Yanlılığı Analizi
Tuğba Türkoğlu Kaya, Türkoğlu Kaya T
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.9.001
Öneri sistemleri, kullanıcıların tercihlerine dayalı olarak kişisel ve memnuniyetin ön planda olduğu öneriler sunmayı amaçlamaktadır. Ancak her ne kadar amaç doğrultusunda hareket edilmeye çalışılsa da, önerilerde popüler yanlılığı problemi ile karşılaşılmakta…
Research Article
Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001
Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…
Research Article
Open Access Comparative Analysis of Deep Learning Models for COVID-19 Detection in X-Ray Images
Ali Bayram, Bayram A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.39.001
The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…
Research Article
Open Access Grid-Aware Electric Vehicle Charging Interface Design
Emir Alaca, Alaca E, Seçil Varbak Neşe, Neşe S
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.8.043
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 el…
Research Article
Open Access Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına, Kına E, Recep Özdağ, Özdağ R
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.1.001
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 TEM…
Research Article
Open Access Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M. Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006
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, varyi…
Research Article
Open Access The Impact of Electric Vehicles on The Grid
Abidin Keçeci, Keçeci A, Bülent Çavuşoğlu, Çavuşoğlu B
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.1.001
The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …
Research Article
Open Access DC Energy Technologies: The Key to A Sustainable Tomorrow?
Hatice Aydın, Aydın H, Muciz Özcan, Özcan M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.3.010
Development of semiconductor technology, the introduction of computers, smart devices and many household appliances into our lives, especially in the last 20 years, the increase in interest in renewable energy sources, the density of the population in the grid…
Research Article
Open Access Development of Machine Learning-Based Sales Cancellation/Return Forecasting Models for the E-Commerce Industry
Zehra Sude Sarı, Sarı Z, Batuhan Taşkapı, Taşkapı B, Gökay Dağdaş, Dağdaş G, Mehmet Fatih Akay, Akay M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.5.022
E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…
Research Article
Open Access Açısal Hareket Sistemlerinin Hızını Ölçmek İçin BNO055 Sensör ve ESP32-WROOM-32 Mikrodenetleyici Kullanılarak Açısal Hareket Sistemlerinin Donanım Geliştirilmesi ve Ölçeklendirilmesi
Serhat Çindemir, Çindemir S, Süleyman Erdoğan, Erdoğan S
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.8.037
Hareket sırasında dairesel alanları tarayan sistemlerde, hareket hızını ölçmek için yaygın olarak jiroskoplar, takometreler ve kodlayıcılar kullanılır. Bu çalışmada, manyetometre, jiroskop ve ivmeölçer içeren BNO055 sensörü açısal hareketi ölçmek için kullanıl…
Research Article
Open Access Transformatörlerde Buşing Bağlantılarının Önemi
Tuğçe Kayalak, Kayalak T, Furkan Ekşi, Ekşi F, Şeyma Nur Gökmen, Gökmen Ş, Ahmet Doğuhan Mermer, Mermer A, Melis Öder, Öder M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.10.047
Bu çalışma, transformatörlerde alçak gerilim (AG) tijlerinin kararmasına yol açan aşırı ısınma sorunlarını ve bu sorunların çözümünü ele almaktadır. Transformatörler, elektrik enerjisini alçak gerilimden yüksek gerilime veya tam tersine çevirerek, enerjinin uz…
Research Article
Open Access Comparison of PID and FLC type controller designed for ohmic heating system
Buket Dinç, Dinç B, Köksal Erentürk, Erentürk K
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0020
In this study, mathematical modeling of an ohmic heating system has been done, firstly. Then, two different control approaches, PID and fuzzy logic control, have been considered to control of mathematically modeled ohmic heating system. An optimal PID controll…
Research Article
Open Access Crop Yield Prediction Using Machine Learning Algorithms
G. Malini Devi, Devi G, Badhe Siri Vennela, Vennela B, Shreya Arukala, Arukala S, Sai Amogha Uppalapati, Uppalapati S, Kambalapally Anudeepthi, Anudeepthi K
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0040
The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…
Research Article
Open Access Earthquake Prediction Methodology Based On Neural Network Model
Azra Dilek Erhan, Erhan A, Ikhwan Kim, Kim I
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00125
Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…
Research Article
Open Access Synthesis of Drug Microparticle with Hydrophilic Carrier and Its Characterization
Emine Ozen, Ozen E, Kader Poturcu, Poturcu K, Tayebeh Hashemi, Hashemi T, Melike Sozeri, Sozeri M, Serhat Yigit, Yigit S, Sevgi Demiroz, Demiroz S
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00132
In the present study, a model drug, with its low permeable and low aqueous soluble properties, was selected to produce microparticles using an anti-solvent precipitation technique with two different drugs: polymer (0.5, 1.0, w/v %) ratios. The characterization…
Research Article
Open Access Examining the Transformation of TOKİ Housing in the Context of Turkish Family Structure: A Case Study of Adana
Sena Ersoy, Ersoy S, Hasan Begeç, Begeç H, Rengin Zengel, Zengel R
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0014
The state-initiated TOKİ programs in Turkey commenced post-1980s. They were preferred due to their rapid and mass production, catering to the economic needs of low-income groups, consequently fueling a sustained increase in housing demand over the years. Acade…
Research Article
Open Access Yeraltı Su Seviyesinin Doğrusal Olmayan Otoregresif Sinir Ağı ile Tahmini
Ramazan Şentürk, Şentürk R, Rıfat Kurban, Kurban R, Fatma Çakıroğlu, Çakıroğlu F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.021
Yeraltı su seviyelerinin izlenmesi ve tahmini, su kaynakları yönetimi için kritik bir öneme sahiptir. İklim değişikliği, nüfus artışı ve aşırı su çıkarma gibi etkenler, yeraltı suyu rezervlerine baskı oluşturabilir. Bu nedenle, yeraltı su seviyelerinin izlenme…
Research Article
Open Access Görüntü Birleştirme Yöntemleri ile Çok-modlu Medikal Görüntülerin Kaynaştırılması
Fatma Çakıroğlu, Çakıroğlu F, Rıfat Kurban, Kurban R, Ali Durmuş, Durmuş A, Ercan Karaköse, Karaköse E
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.0026
Çok-modlu medikal görüntü birleştirme, görüntü kalitesini artırmak için iki ya da daha fazla medikal görüntünün birleştirilmesidir. Tıbbi görüntüleme sağlık alanında teşhis, araştırma ve tedavide önemli bir rolü üstlenmektedir. Tanı ve tedavide daha doğru klin…
Research Article
Open Access A New Convolutional Neural Network Model for Skin Cancer Detection in Dermatoscopic Images
Mustafa Furkan Keskenler, Keskenler M, Deniz Dal, Dal D
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.006
Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…