60 results for “Spectrum sensing”
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 Bilişsel Radyo Ağlarında Spektrum Algılama için Çevrimiçi Öğrenme Algoritmasına Dayalı Optimum Eşik Modeli
Kenan Koçkaya, Koçkaya K, İbrahim Develi, Develi İ
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Bilişsel radyo kullanılmayan ya da az kullanılan spektrum bantlarına dinamik olarak erişim olanağı sağlayan ve kullanıcılar arasında herhangi bir olumsuzluğa neden olmadan spektrum paylaşımını gerçekleştiren yazılım tabanlı bir teknolojidir. Kablosuz haberleşm…
Research Article
Open Access Research and Future Trends on Cognitive Radio
Göksel Can, Can G, Ahmet Turgut Tuncer, Tuncer A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Increasing in wireless communications systems is caused to increase in the need of the frequency spectrum. CR (Cognitive Radio) measure or sense frequency spectrum activities on spectrum bands whether they are idle or used by licensed users. According to sensi…
Research Article
Open Access Kentsel Mekân Farklılıklarının Isı Adası Oluşumuna Etkisinin Belirlenmesi: Erzurum Kenti Örneği
Nalan Demircioğlu Yıldız , Demircioğlu Yıldız N, Uğur Avdan , Avdan U, Zehra Avdan , Avdan Z
3rd International Symposium on Innovative Approaches in Scientific Studies (Fine Arts, Design and Architecture) 2019
Tüm dünyada özellikle de kent merkezlerinde yaşayan insan nüfusu her geçen gün artmaktadır. Nüfus artışına bağlı olarak sosyal, ekonomik ve çevre sorunlarını da her geçen gün artmaktadır. Günümüzde kent merkezlerinde görülen en önemli çevre sorunlarından biri …
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 A Review of Robotic Hand and Its Applications
Gülnur Yılmaz, Yılmaz G, Yakup Hameş, Hameş Y, Kemal Kaya, Kaya K
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.008
This study basically presents a review of robotic hands and its applications based on human hand motion. In the context of the review, different kinds of articles are analyzed. There are some hand motion-sensing methods, which are noncontact and direct contact…
Research Article
Open Access Karar Ağaçları ile Otistik Spektrum Bozukluğu Tanısı Koyma
Büşra DUYGU , DUYGU B, Merve KOCAOĞLU , KOCAOĞLU M, Aysun COŞKUN , COŞKUN A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Çalışmamız; sosyal etkileşim, tekrarlayan davranışlar, kısıtlı ilgi alanları ve iletişim sorunu olarak ortaya çıkan ve ömür boyu devam eden bir gelişim bozukluğu olan Otizmin erken tanısı üzerine gerçekleştirilmiştir. Karar ağacı algoritmaları ile Otistik Spek…
Research Article
Open Access Modified Synthetic Variable Ratio Pansharpening Method
Volkan Yılmaz, Yılmaz V, Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of
image processing. Nume…
Research Article
Open Access Coercive Solvability of Many-Interval Sturm-Liouville Problems
O. Sh. Mukhtarov , Mukhtarov O, Kadriye Aydemir, Aydemir K, Hayati Olgar, Olgar H
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
It is well-known that the Sturm-Liouville type boundary value problems appears in solving many important problems in
physics. For example, some problems of theory of elasticity in a half-strip ,the problems of theory of vibrations of an elastic cylinder
redu…
Research Article
Open Access An AI-Driven Drone-Integrated Mobile Photobioreactor System: A Novel Approach to Atmospheric Carbon Sequestration and Oxygen Emission
Betül Güroy, Güroy B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.31.001
A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…
Research Article
Open Access Comparative Analysis of YOLOv5, YOLOv4, and SSD for Aircraft Detection in Airport Environments Using Remote Sensing Data
Hana Marie Marek, Marek H, Kvetoslav J. Kostelnikova, Kostelnikova K, Melis Duhter, Duhter M, Akif Mert Korol, Korol A, Hilal Kuzu, Kuzu H
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.4.018
Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…
Review
Open Access Seismic Data Analysis with Deep Learning Models: Methods, Applications, and Future Perspectives
Betül Ağaoğlu, Ağaoğlu B, İman Askerzade, Askerzade İ, Gazi Erkan Bostancı, Bostancı G, İhsan Tolga Medeni, Medeni İ
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00120
Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…
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 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 Improving Hyperspectral Image Classification with Watershed Segmentation-Based Texture Features
Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Volkan Yılmaz, Yılmaz V, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral
bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by
integrat…
Research Article
Open Access ZnO nanopowders by Microwave Assisted Hydrothermal Method
Büşra Avcı, Avcı B, Yasemin Çağlar, Çağlar Y
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
ZnO nanopowders were synthesized via microwave assisted hydrothermal method at different precursor solution
molarities. For this, the aqueous solutions of zinc aceatate dihydrate and sodium hydroxide were prepared at different molarity
as precursor materials…
Research Article
Open Access Lightweight Attention-Based Framework for Semantic Segmentation and Compression of 3D LiDAR Data
Rytis Maskeliünas, Maskeliünas R, Sarmad Maqsood, Maqsood S
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.5.001
Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…
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 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 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…