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100 results for “Metaheuristic algorithms”

Research Article Open Access Opportunities and Challenges of Using Artificial Intelligence in the Educational System
Inga Abuladze, Abuladze I
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.12.001

Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence (AI) technologies. …

Research Article Open Access Predictive Analysis of Cross-Cultural Issues in Global Software Development Using AI Techniques
Zohaib  Iqbal, Iqbal Z, Gizem Temelcan Ergenecosar, Ergenecosar G
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.9.049

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 com…

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 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 Mobil Manipülatörler için Derin Öğrenme Tabanlı Arıza Teşhis Sistemi
Zekican Yılmaz, Yılmaz Z, Tolga Yüksel, Yüksel T
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.011

Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…

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 Türkiye Eğitim Verisinin OECD Ülkeleri ile Karşılaştırılması
İzzet Aydın, Aydın İ, Bülent Tuğrul, Tuğrul B
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.001

Bu makalede OECD veri tabanından alınan eğitim verilerin, Python[1] programlama dili kullanılarak karşılaştırılması ve görselleştirilmesi gerçekleştirilmiştir. Bu grafikler uygun oldukları alt başlıklar altında incelenmiş, Türkiye'deki eğitim sistemi [2] üzeri…

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 Smart (V2G) Power Transfer on Scenario Based Strategies Trained Through Artificial Neural Networks for Maximum Tariff Saving and Energy Management in MATLAB Simulink
Shariq Ahmed Shamsi, Shamsi S, Omer Cihan Kivanc, Kivanc O
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.016

Although numerous amounts of research have been done to find alternate sources of energy consumption and its applications. But in times of energy crisis and global warming urgency, it is needed to pace towards methods of less dependency on fossil fuels in the …

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 Financial Machine Learning
Veysel Yılmaz, Yılmaz V
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.035

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…

Research Article Open Access Analysis of Highway Traffic Using Deep Learning Techniques / Derin Öğrenme Teknikleri Kullanılarak Anayol Trafik Analizi
Muhammet Esad Özdağ, Özdağ M, Nesrin Aydın Atasoy, Aydın Atasoy N
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.098

Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…

Research Article Open Access A Robust Formulation for U-shaped Assembly Line Balancing Problem Under Task Time Uncertainty by Considering Worker Skills
Ömer Faruk Yılmaz, Yılmaz Ö
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.015

The U-shaped assembly line balancing (UALB) problem has been extensively investigated in the existing academic literature. However, only a limited number of studies consider the uncertainty in the assembly lines. In this research, a robust formulation is devel…

Research Article Open Access 3D Reconstruction of Point Clouds and Solid Models from LiDAR and Digital Stereo Images
Abu Kamara, Kamara A, Sedat Doğan, Doğan S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.059

One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…

Research Article Open Access Effect of Non-Gaussian Noise on Detection Performance of Multi-Stage Detectors
Timur Düzenli, Düzenli T, Olcay Akay, Akay O
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.105

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

Research Article Open Access Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz, Cengiz E, Cemal Yılmaz, Yılmaz C, Hamdi Tolga Kahraman, Kahraman H, Fatih Bayram, Bayram F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.107

 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 and vehicles …

Research Article Open Access Phylogenetic Analysis of Streptomyces sp. H2AK isolated from soil in Kuşadası
Demet Tatar, Tatar D, Aysel Veyisoğlu, Veyisoğlu A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.108

Streptomyces is a genus of Gram-positive bacteria that has a filamentous form similar to fungi. Streptomyces produces bioactive secondary metabolites, such as antifungals, antivirals, antitumorals and various antibiotics (Procópio et al., 2012). The aim of thi…

Research Article Open Access İç Mekan Konumlandırma Yöntemleri
Hatice Arslantaş, Arslantaş H, Selçuk Ökden, Ökden S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.116

21. yüzyıldan itibaren teknolojideki gelişmeler sayesinde konum tabanlı sistemler giderek yaygınlaşmaya başlamıştır. Uydu tabanlı konumlandırma sistemleri, uydulardan gelen sinyallerin zayıf şiddette olması sebebi ile bina içine nüfuz edemez. Bir iç ortam konu…

Research Article Open Access Akut Lenfoblastik Löseminin Makine Öğrenimi ile Sınıflandırılması
Ayşe Berika Varol Malkoçoğlu , Varol Malkoçoğlu  A, İsmail İşeri, İşeri İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.139

Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…

Research Article Open Access Curvilinear Glass Technologies In The Historical Urban Environment. A New Approach To Rehabilitation Of The Urban Tissue And Its Elements - Selected Examples.
Marta Banachowicz, Banachowicz M, Krystyna Januszkiewicz, Januszkiewicz K
4th International Symposium on Innovative Approaches in Architecture, Planning and Design 2019 https://doi.org/10.36287/setsci.4.7.054

The paper is deals with Glass Structures, used as a component of nonlinear shaping architectural forms in historical urban environment. These forms are treated as a city-event per analogies to Bernard Tschumi's theory of „event cities”. In this theory, the ess…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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