148 results for “Architectural Features”
Research Article
Open Access Tarihi Çevrede Restorasyon Sonrası Engellilerin Yaşadıkları Zorlukların Bir Örneklem Üzerinde İncelenmesi
Ali Telli, Telli A, Celil Çelik, Çelik C, Ahmet Mestan, Mestan A
3rd International Symposium on Innovative Approaches in Scientific Studies (Fine Arts, Design and Architecture) 2019
Yaşamlarını doğuştan ya da sonradan, kalıcı ya da geçici engelli olarak geçirmeye mecbur kalan insanların yaşamlarını toplum ile bütünleşik ve dışlanma duygusu hissetmeden geçirmeleri esastır. Dolayısıyla tüm hizmetlerin, insanların fiziksel hareket kabiliyetl…
Research Article
Open Access Eğitim Mekânlarının Algısal Değerlendirilmesinde Tasarım Eğitiminin Etkisinin Kontrollü Gerçek Mekân Deneyi ile Tespiti
M. Kübra Müezzinoğlu, Müezzinoğlu M, M. Lütfi Hidayetoğlu, Hidayetoğlu M, Kemal Yıldırım, Yıldırım K
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Bu çalışma ile bireylerin renk tercihlerinin aldıkları eğitime göre değişip değişmediği araştırılmaktadır. Çalışmada
çevresel imajı oluşturan ‘renk’ kavramı bağımlı değişken olarak, bireylerin eğitim durumu ise bağımsız değişken olarak ele
alınmış ve bu iki …
Research Article
Open Access Effects of User Satisfaction on the Characteristics of Call Center Tables used in Open-Plan Offices
Ahmet Mestan, Mestan A, Kemal Yıldırım, Yıldırım K, Ayşen Özkan, Özkan A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, it is aimed that positive direction for development of environmental conditions in employees' exterior space related open-plan office and improvement of comfort conditions of the call center tables using in the office. In the study, characterist…
Research Article
Open Access Forecasting Banking Desert Risk Using Branch Level and Merger Signals
Malavika Polanki, Polanki M
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.5.001
In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …
Research Article
Open Access Biophilic Design as Part of the Contemporary Interior of Airport Terminals
Lora Panayotova, Panayotova L
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.81.001
Airport terminal buildings are a reflection of modern technology, as well as representation of the distinctive identity of each country and contemporary interior design trends. This paper aims to examine the impact biophilic design has on passenger perception.…
Research Article
Open Access Kent Mobilyalarının Ergonomi ve Antropometri Kriterleri Açısından İrdelenmesi: Selçuk Üniversitesi Örneği
Ruhugul Ozge Gemici, Gemici R
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.3.001
İnsan, ergonomik yaklaşımın temel bileşenlerinden biri durumundadır. Bu nedenle ergonomi, insanın yaşadığı ortamın ve onun kullandığı her türlü araç ve donanımın insana ve topluma uygun olmasını amaçlar. Bu amaçla, ergonominin dayandığı bilim dallarından biri …
Research Article
Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001
With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…
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 A Deep Learning Framework for the Identification of Distinct Stages in Diabetic Retinopathy through Retinal Image Analysis
A.D.P. Rupasinghe, Rupasinghe A, K.G. Samarawickrama, Samarawickrama K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.3.001
Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …
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 Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001
Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …
Research Article
Open Access Bitki Hastalıklarını Tespit Eden Görüntü İşleme Sistemli Mobil Uygulama
Yiğitcan Soylu, Soylu Y, Mustafa Altıok, Altıok M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.43.001
Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…
Research Article
Open Access Energy Loss and Panel Fault Detection in Solar photovoltaic Systems Using Extreme Gradient Boosting algorithm
Fatma Zehra Kardas, Kardas F, Adem Atmaca, Atmaca A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.59.001
Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…
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 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 Development of a Simulator for UAV Swarm Operation Planning using Evolutionary Algorithms
Metehan Aydın, Aydın M, Gazi Erkan Bostancı, Bostancı G, Mehmet Serdar Güzel, Güzel M, Koray Açıcı, Açıcı K
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.009
In latest years, UAVs are widely used in many areas. Their advantages attracts researches all around the world. When UAVs are wanted to be used effectively, swarm systems offer better and more advantageous solutions. Using a UAV swarm has some advantages over …
Research Article
Open Access Comparison Of Machine Learning Methods In Predıctive Maintenance Applications Of Electric Motors
Berk Kahyaoğlu, Kahyaoğlu B, Nuri Berkcan Sarıel, Sarıel N, Erdinç Berkin Konca, Konca E
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.010
Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…
Research Article
Open Access Uçak Görüntülerinin Sınıflandırılmasında Farklı Yapay Zekâ Algoritmalarının Performansı
Özgün Devrim Kılıç, Kılıç Ö, Mustafa Emre Aydemir, Aydemir M, Pınar Öztürk Özdemir, Öztürk Özdemir P
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.018
Günümüzde yapay zekâ uygulamaları ile nesne tespiti birçok alanda kullanılmaktadır. Yapay zekâ ile görüntü işleme teknolojisinin ve veri setlerinin gelişmesiyle birlikte birçok matematiksel model ve algoritma nesne tespitinde kullanılmaktadır. Yapay zekâ algor…
Research Article
Open Access Üretken Çekişmeli Ağ Kullanarak Eski Görüntüleri Renklendirme ve İyileştirme
Arda Cem Bilecan, Bilecan A, Simay Hoşmeyve, Hoşmeyve S, Bahadır Karasulu, Karasulu B
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.008
Günümüzde derin öğrenme alanı için veri, çalışma sonuçlarının başarı oranı için büyük önem taşımaktadır. Bu ihtiyaca yönelik olarak görüntü işleme konusunda yapabileceğimiz iyileştirmeler ile daha kaliteli ve eksiksiz görüntüler elde etmek ve eski verilerde ka…
Research Article
Open Access Pseudomonas aeruginosa detection methods from ground beef and chicken meat samples
Belgin Sırıken, Sırıken B, Gökhan İnat, İnat G, Ceren Başkan, Başkan C
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.082
In this study, chicken and ground beef samples purchased from supermarkets and butchers in Samsun Province were analyzed for presence of Pseudomonas (P.) aeruginosa. In this case, classical culture technique were applied with molecular techniques. Isolation wa…