178 results for “Neural Networks”
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 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 Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001
Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…
Research Article
Open Access Filyos Nehri’ndeki Askıda Katı Madde Miktarının Yapay Sinir Ağları İle Belirlenmesi
Berna Aksoy, Aksoy B, İsmail Hakkı Özölçer, Özölçer İ, Onur Dündar, Dündar O, Ahmet Sinan İlhan, İlhan A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.103
Canlı varlıklar yaşamlarını sürdürebilmek için suya ihtiyaç duyarlar. Su yeryüzünde sürekli olarak bir dolanım halinde bulunmaktadır. Bu dolanım sırasında çeşitli sebeplerden dolayı suya karışan maddeler suyun özelliklerinin değişmesine sebep olur. Gerek suyun…
Research Article
Open Access Izhikevich Sinir Hücresi Modelinin Raspberry Pi Kullanılarak Gerçekleştirilmesi
Vedat Burak Yücedağ, Yücedağ V, İlker Dalkıran, Dalkıran İ
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Canlılar koşma, yürüme ve emekleme gibi temel hareketlerini gerçekleştirmek için Merkezi Desen Üreteçleri olarak
isimlendirilen ritmik desenler üreten sinir hücreleri topluluğuna sahiptir. Merkezi Desen Üreteçleri, canlıların bu temel
hareketlerine ek olarak…
Research Article
Open Access A Novel Deep Learning Model for Diabetes Diagnosis
Haniyeh FATTAHI, FATTAHI H, Yousef FARHANG, FARHANG Y
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.1.001
Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…
Research Article
Open Access XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks
Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001
In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …
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 A Performance Analysis of Extreme Learning Machine on Skin Segmentation Dataset
Ayşenur Uzun , Uzun A, Eda Çapa Kızıltaş , Kızıltaş E, Ersen Yılmaz , Yılmaz E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…
Research Article
Open Access Estimation of Electricity Consumption of Turkey by using ARIMA, Grey Model and Linear Regression Analysis
Zeynep Ceylan, Ceylan Z, Hakan Öztürk, Öztürk H, Birol Elevli, Elevli B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
The successful estimation of future electricity consumption has a crucial importance in the energy planning.
Because, in order to meet rising energy demand, policy makers should formulate electricity supply policies and make critical
decisions and develop ne…
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 Word Vector Space for Text Classification and Prediction According to Author
İlknur Dönmez, Dönmez İ, Elnaz Pashaei , Pashaei E, Elham Pashaei
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.021
Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…
Research Article
Open Access Fine-Tuning Models Comparisons on Garbage Classification for Recyclability
Umut Özkaya, Özkaya U, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to
provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes
on differen…
Research Article
Open Access Global Ağ Yapısına Dayalı Kuramoto Modelinde Senkronizasyonun Araştırılması
İrem Şenyer Yapıcı, Yapıcı İ, Rukiye Uzun, Uzun R
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In the study synchronization was studied using an all-to-all network structure in a multiple system of Kuramoto oscillators. Synchronization performance was first investigated in a weakly connected system, and the effects of link strength and number of oscilla…
Research Article
Open Access Comparing the Performance of Encryption Algorithms in ZigBee Based Wireless Sensor Networks
Cebrail Çiftlikli, Çiftlikli C, Kadir Aba, Aba K
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Wireless Sensor Networks, used widely nowadays, are likely to be unprotected against a variety of external attacks because they are often used in outdoor applications. Protecting the network against attack and ensuring the safety of the data has always been im…
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 Dimension Forecast in Microstrip Antenna for C/X/Ku Band by Artificial Neural Network
Umut Özkaya, Özkaya U, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In this study, it is aimed to design C pattern array microstrip antenna for C Band (4 to 8 GHz), X Band (8 to 12 GHz)
and Ku Band (12 GHz to 18 GHz). The proposed geometry was fed by coaxial probe. Optimum antenna was designed with
Artificial Neural Network …
Research Article
Open Access CNN Hyperparameters Optimization Using Random Search For Image Classification
Dala KRAYEM, KRAYEM D, Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.007
In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…
Research Article
Open Access Image enhancement by using Hybrid methods based on Artificial Neural Networks
Gülhan Ustabaş Kaya, Kaya G, Zehra Saraç, Saraç Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this study, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of t…