429 results for “missing data, multiple imputation, Bayesian imputation, repeated measures, missing at random”
Research Article
Open Access Üniversite Öğrencilerinin Mobilya Tasarımında Geometrik Form Tercihlerinin Veri Analizi ile Değerlendirilmesi: Sinop Üniversitesi Örneği
Selahattin Bardak, Bardak S, Timuçin Bardak, Bardak T
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Mobilya yüzyıllardır insanlığın kültürel zenginliğinin bir yansıması olmuştur. Aynı zamanda dünya ekonomisinde
mobilya endüstrisi önemli bir yere sahiptir. Fakat bu endüstride rekabet hızlı bir şekilde artmaktadır. Mobilya ürünü için estetik,
fonksiyonellik,…
Research Article
Open Access Applications of Data Envelopment Analysis in Textile Sector
A.Aslı İlleez, İlleez A, Mücella Güner, Güner M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Interest in Data Envelopment Analysis (DEA) has grown in recent years. This is not surprising since DEA can be used to explore efficiency in organizations whose outputs and inputs cannot be reduce to monetary terms. In a relatively short period of time Data En…
Research Article
Open Access Evaluation of the University Students Friendship Status Effect on Their Academic Achievement with Data Mining Techniques
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.022
There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achiev…
Review
Open Access Building and Urban-Scale Energy Modeling: A Comparative Literature Review of Building Energy Modeling (BEM) and Urban Building Energy Modeling (UBEM)
Sevilay Akalp, Akalp S, Dilan Kakdaş Ateş, Kakdaş Ateş D
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.60.001
Cities consume over two-thirds of the world’s energy and account for more than 70% of global CO₂ emissions. Given these negative impacts, cities are major contributors to climate change, one of the most pressing challenges of the 21st century. As dynamic organ…
Research Article
Open Access Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001
Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…
Review
Open Access Advancements in Radar Performance through Generative AI: A Sector-Wide Survey
Selin Sevcan Çakan, Çakan S, Niyazi Ahmet Metin, Metin N, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0095
This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…
Research Article
Open Access Internet of Things and Agricultural Applications
Ali Çaylı, Çaylı A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
The increasing world population has increased the demand for food. Many threats such as agricultural land use, environmental impacts, global warming and drought risks necessitate industrialization of agricultural production and optimum utilization of existing …
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 Smart City Prediction For The City of Izmir Using Fuzzy Logic
Hamit Gökay Meriç, Meriç H, Tuğçe Ertan Meriç, Meriç T
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.034
There is a global high demand for creating smart cities due to the increasing population of the world and lack of natural resources. There are six stated criteria in order to be eligible to become a smart city, which are directly related to governance, economy…
Research Article
Open Access Hiding Data into an Image by Using Cryptography and Steganography
Coşkun Balkesen, Balkesen C, Hasan Erdinç Koçer, Koçer H
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.035
Today, with the widespread use of communication technologies, the need for securing the information has increased. This study has been conducted to contribute to the security of information by taking advantage of two important areas of security, such as crypto…
Research Article
Open Access Forecast of Daily Average Air Temperature by Artificial Neural Networks: Yozgat Province Case
Tolga Hayıt, Hayıt T, Ömer Dağıstanlı, Dağıstanlı Ö, Gökalp Çınarer, Çınarer G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…
Research Article
Open Access Business-Aware Agentic Forecast Refinement for Enterprise Financial Planning
Hari Rajagopalan, Rajagopalan H
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.7.001
Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…
Research Article
Open Access Afetle Kopan Bağlar: 6 Şubat Depremi Sonrası Diyarbakır’da Zorunlu Yerinden Edilmenin Sosyal ve Mekânsal Yansımaları
Meryem Bakır, Bakır M, Aslı Altanlar, Altanlar A
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.76.001
6 Şubat 2023 tarihli Kahramanmaraş merkezli depremler, Diyarbakır’da ciddi fiziksel yıkımların yanı sıra toplumsal ve mekânsal düzeyde derin dönüşümlere neden olmuştur. Bu çalışma, Diyarbakır’da afet sonrası TOKİ konutlarına zorunlu olarak yerleştirilen bireyl…
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 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…
Research Article
Open Access SCA-GWO: A Hybrid Optimization Method Based on the PTS Technique for PAPR Mitigation in OFDM Systems
Taba Somia, Somia T, Benchana Mohamed Amine, Amine B, Redadaa Salah, Salah R, Ikni Samir, Samir I
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.028
This work suggests a newly developed partial transmit sequence (PTS) approach consisting of the hybridization of two efficient algorithms, namely, the grey wolf optimization (GWO) algorithm and the sine cosine algorithm (SCA). The SCAGWO-based PTS technique is…
Research Article
Open Access Investigation of Variables That Affect the Urban Water Consumption Over Some Districts of Konya City
Omıdullah Zeın Ebad, Zeın Ebad O, Volkan Yılmaz, Yılmaz V
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.039
As it is known, the importance and consumption of water is increasing day by day due to industrial growth, population growth, advancement of technology and increasing living standards. Because of the limited water resources, the design, planning and forecastin…
Research Article
Open Access Estimation of Electricity Consumption by Regression and Artificial Neural Networks Approaches
Ümmü Gülsüm Eraslan, Eraslan Ü, Figen Balo, Balo F, Büşra Çetin, Çetin B, Ukbe Ü. Uçar, Uçar U
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Aim of the study: It is important to be able to plan the production transmission and distribution necessary for uninterrupted electricity and to use the electricity more efficiently and to make demand forecasts. For this reason, it is aimed to estimate the ele…
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 The Effect of the Visualization Type of Data Received from the X Platform on Manipulation Detection with Deep Learning
Hafzullah İş, İş H
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.031
Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …