198 results for “Wireless sensor network”
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 Engine performance and exhaust gas temperature modeling in a diesel engine with butanol-diesel fuel blends: Comparison of artificial neural networks and regression analysis
Samet Gürgen, Gürgen S, İsmail Altın, Altın İ
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, the effect of using a mixture of butanol and diesel fuel in a small diesel engine on engine performance
and exhaust emissions is modeled. A comparison has been made with artificial neural networks, which is an up-to-date method,
and multiple l…
Research Article
Open Access Forecasting the Installed Wind Power in Turkey by Artificial Neural Network
Mehmet Feyzi Özsoy, Özsoy M, Hakan Aydoğan, Aydoğan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…
Research Article
Open Access PID Parameter Optimization By Using Ant Colony And Cuckoo Algorithms For Boost Converter
Önder Civelek, Civelek Ö, Metin Tüysüz, Tüysüz M, Mustafa Şinasi Ayas, Ayas M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.069
One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…
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 Design of Ku-Band Microstrip Patch Antenna in Dual-Band by Utilizing U-Slot and Slits
Nurettin Bebek, Bebek N, 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.4.5.022
In this paper, the Ku-band rectangular microstrip patch antenna (RMPA) is intended to operate in the dual-band for satellite communication (SATCOM). The antenna which is obtained for dual-band by utilizing a U-slot and vertical slits on RMPA is fed with a micr…
Research Article
Open Access Design of Micro-Strip Antenna at Frequency (fr) = 6.5 GHz
Khalid Zaman , Zaman K, Hammad Afridi , Afridi H, Muhammad Zohaib , Zohaib M, Attiq Ur Rahman , Rahman A, Hazrat Ali , Ali H
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Micro-strip patch antenna has penetrated deep in the market due to its advantages. After studying micro patch antennas, there are some draw backs of it. One of the drawbacks includes the narrowband performance. The primary reason for this is its resonant natur…
Research Article
Open Access Efficient Data Storage in Edge Cloud Computing For Real Time System
Alhakam Qassab , Qassab A, Shafqat Ur Rehman , Rehman S
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
At the last two decades the information world and associated information technologies have been progressed. This progress can be implemented from the concept of the internet to the internet of things. The Internet of things (IoT) refers to billions of electron…
Research Article
Open Access Investigation of Distance Learning Students' Opinions on Mobile Learning
Serkan Şenkal, Şenkal S, Sabri Serkan Tan, Tan S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
With today's developing technology, learning applications reach more people within shorter time. This development of technology closely affects mobile technology. These developments in mobile technology are applied to make learning more effective. Mobile learn…
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…
Research Article
Open Access Yeraltı Su Seviyesinin Doğrusal Olmayan Otoregresif Sinir Ağı ile Tahmini
Ramazan Şentürk, Şentürk R, Rıfat Kurban, Kurban R, Fatma Çakıroğlu, Çakıroğlu F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.021
Yeraltı su seviyelerinin izlenmesi ve tahmini, su kaynakları yönetimi için kritik bir öneme sahiptir. İklim değişikliği, nüfus artışı ve aşırı su çıkarma gibi etkenler, yeraltı suyu rezervlerine baskı oluşturabilir. Bu nedenle, yeraltı su seviyelerinin izlenme…
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 Enhancing Offline Handwritten Signature Identification with Pre-Trained CNN Architectures
Nader Ebrahimpour, Ebrahimpour N
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0030
Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…
Research Article
Open Access The New Activation Function for Complex Valued Neural Networks: Complex Swish Function
Mehmet Çelebi, Çelebi M, Murat Ceylan, Ceylan M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.050
Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …
Research Article
Open Access Classification of Induction Motors by Fault Type with bidirectional Long-Short Term Memory Method
Ahmet Ali Süzen, Süzen A, Kıyas Kayaalp, Kayaalp K
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.074
It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…
Research Article
Open Access Forecasting the Dielectric Properties of the Insulation Material using an Embedded ANN Microcontroller
Hakan Aydoğan, Aydoğan H, Faruk Aras, Aras F, Ercüment Karakaş, Karakaş E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…
Research Article
Open Access Görüntü Birleştirme Yöntemleri ile Çok-modlu Medikal Görüntülerin Kaynaştırılması
Fatma Çakıroğlu, Çakıroğlu F, Rıfat Kurban, Kurban R, Ali Durmuş, Durmuş A, Ercan Karaköse, Karaköse E
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.0026
Çok-modlu medikal görüntü birleştirme, görüntü kalitesini artırmak için iki ya da daha fazla medikal görüntünün birleştirilmesidir. Tıbbi görüntüleme sağlık alanında teşhis, araştırma ve tedavide önemli bir rolü üstlenmektedir. Tanı ve tedavide daha doğru klin…
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 Structured Deep Learning Supported with Point Cloud for 3D Human Pose Estimation
Erdal Özbay, Özbay E, Ahmet Çınar, Çınar A, Zafer Güler, Güler Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Research Article
Open Access Trafik Hız Sınırlama Levhalarının Derin Öğrenme ile Sınıflandırılması
Zeynep İlkılıç Aytaç, İlkılıç Aytaç Z, İsmail İşeri, İşeri İ, Beşir Dandıl, Dandıl B
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.147
Yapay sinir ağları makine öğrenmesi alanında birçok problemin çözümünde sıklıkla kullanılmaktaydı. Fakat “Yapay Zeka Kışı” olarak da adlandırılan dönemde ilk olarak donanımsal kısıtlamalar ve diğer problemler sebebiyle bu alandaki çalışmalar durma noktasına ge…