Skip to content
Home / Search

Search

161 results for “Generative Adversarial Networks”

Review Open Access A Survey on The Use of Generative AI in Aviation
Niyazi Ahmet Metin, Metin N, Selin Sevcan Çakan, Çakan S, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00106

The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…

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…

Review Open Access Generative AI in Radar Systems: A Survey of Emerging Techniques and Sectoral Applications
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.18.1.00101

In the contemporary era of technological advancements, integrating Generative Artificial Intelligence (AI) with radar systems has emerged as a groundbreaking approach to enhance the quality and clarity of radar data. This fusion has paved the way for significa…

Research Article Open Access A Comparative Evaluation of Interpolation and Generative Oversampling Techniques for Predictive Maintenance
Abdazeez Atere, Atere A, Hasan Kivrak, Kivrak H
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.21.001

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

Research Article Open Access Comparative Analysis of cVAE, cGAN, and LSTM Models for Music Generation Based on Weather Conditions
Nedim Karavdić, Karavdić N, Bećir Isaković , Isaković  B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.11.001

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

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 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 Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Research Article Open Access An Investigation of Range-based Localization Methods in Wireless Sensor Networks
Layth Jasim, Jasim L, Bahriye Akay, Akay B
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Wireless sensor network (WSN) is a distributed system usually comprising a set of autonomous sensors nodes. These sensors are physically small in size and are capable to communicate with each other and capable of conveying data to recipients. In a large number…

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 …

Review Open Access Data Sets and Software Libraries Used for Deep Learning
Özkan İnik, İnik Ö, Erkan Ülker, Ülker E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

Research Article Open Access Mimarlık Öğrencilerinin Kentte Konut Tasarımı Problemine Geleneksel Yöntem ve Üretken Sistem ile Yaklaşımlarının İncelenmesi
Elif Çam, Çam E, Arzu Özen Yavuz, Özen Yavuz A
3rd International Symposium on Innovative Approaches in Scientific Studies (Fine Arts, Design and Architecture) 2019

Bu araştırma, Gazi Üniversitesi Mimarlık Bölümü 4. Sınıf öğrencileri ile birlikte, üretken sistemlerden olan fraktallerin kentte konut tasarımı probleminin çözüm sürecinde öğrencilerin tasarım kararlarını alma ve ürüne dönüştürme aşamalarındaki rolünü inceleme…

Research Article Open Access Üretken Geometrik Yaklaşımlar ile Kentsel Strüktür Üzerine Denemeler
Elif Çam, Çam E, Arzu Özen Yavuz, Özen Yavuz A
3rd International Symposium on Innovative Approaches in Scientific Studies (Fine Arts, Design and Architecture) 2019

Mimarlık eğitimi öğrencilerin karmaşık tasarım problemi hakkında kendi yaratıcı düşünceleri ile geliştirdikleri özgün tasarım yaklaşımlarını içerir. Mimari tasarım stüdyosunda izlenen yöntemler, eğiticinin gösterdiği yollar, tasarımcının deneyimleri ve izlediğ…

Research Article Open Access Community Detection in Social Media Network with Maximum Modularity Using Girvan-Newman Algorithm
Ali Fatih Gündüz, Gündüz A, Ahmet Karadoğan, Karadoğan A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Social networks are formed from interactions of peoples. Measuring the degree of those relationships requires interpreting connectivity of vertices and extracting information from it. Generally individuals form smaller sub-communities in those networks. Identi…

Research Article Open Access Derin Öğrenme-Tabanlı Optimum Eşik Değeri ile Cihazdan Cihaza İşbirlikli İletişim Sistemlerinin Hata Başarımının İyileştirilmesi
Emre Çakar, Çakar E, Ahmet Emir, Emir A, Ferdi Kara, Kara F, Hakan Kaya, Kaya H
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.001

Makine öğrenmesi teknikleri, hesaplama hızları, başarımları ve tam bilgiye sahip olunmayan durumlarda bile sunduğu çözümler sayesinde birçok mühendislik problemleri için vazgeçilmez bir araç haline gelmiştir. Tüm mühendislik alanlarında olduğu gibi, kablosuz i…

Research Article Open Access PREDICTION OF HIGH-TEMPERATURE PERFORMANCE OF GEOPOLYMER MODIFIED ASPHALT BINDER USING ARTIFICIAL NEURAL NETWORKS
Mustafa Alas, Alas M, Shaban Ismael Albrka Ali  , Albrka Ali   S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…

Research Article Open Access Bilişsel Radyo Ağlarında Çevrimiçi Öğrenme Tabanlı İşbirlikçi Spektrum Algılama Algoritmasının Sönümlü Kanallardaki Başarımı
Kenan Koçkaya, Koçkaya K, İbrahim Develi, Develi İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Spektrum algılamada amaç spektrum boşluklarının doğru ve hızlı bir şekilde algılanmasıdır. Bu nedenle bilişsel radyo ağlarının başarımı büyük ölçüde spektrum algılama işlevine bağlıdır. Bu çalışmada, bilişsel radyo ağlarında spektrum algılma başarımını artırma…

Research Article Open Access Effect Of Different Resolution DEM Data Generated By UAVs In Determining Drainage Networks
Mehmet Akif Günen, Günen M, Ümit Haluk Atasever, Atasever Ü, Talha Taşkanat, Taşkanat T, Erkan Beşdok, Beşdok E
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

The rapid increase in the world population and climate change due to industrialization require the preservation and sustainability of existing water resources. The calculation of drainage networks that are directly related to watershed management is very impor…

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 In Technological Development Framework, Effects of Artificial Intelligence and Virtual Reality to Spaces: Interactive Architecture
Cengiz Tavşan, Tavşan C, Filiz Tavşan, Tavşan F, Serkan Sipahi, Sipahi S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

With development of technology, humanity has entered to age of information. In this era, there is big development has been existed on software’s. With these technological developments, artificial intelligence and virtual reality subjects are one of the most …

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide