257 results for “Artificial Neural Network”
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 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…
Review
Open Access Derin Öğrenme Mimarilerinden Konvolüsyonel Sinir Ağları (CNN) Üzerinde Görüntü İşleme-Sınıflandırma Kabiliyetininin Arttırılmasına Yönelik Yapılan Çalışmaların İncelenmesi
Mustafa Tüfekçi, Tüfekçi M, Fatih Karpat, Karpat F
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.007
İnsan ve bilgisayar etkileşimi, interaktif teknolojilerin tasarımı, değerlendirilmesi ve uygulanması ile ilgilenen disiplinler arası bir çalışma alanıdır. Bankalar, hastaneler, okullar, internet siteleri gibi hayatın her alanında insan ve bilgisayar etkileşimi…
Research Article
Open Access Estimation of Electricity Consumption by Regression and Artificial Neural Networks Approaches
Ümmü Gülsüm Eraslan, Eraslan Ü, Figen Balo, Balo F, Büşra Çetin, Çetin B, Ukbe Ü. Uçar, Uçar U
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Aim of the study: It is important to be able to plan the production transmission and distribution necessary for uninterrupted electricity and to use the electricity more efficiently and to make demand forecasts. For this reason, it is aimed to estimate the ele…
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 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 Recognition of Handwritten Source Code Characters With Deep Neural Networks
Barış Kılıçlar, Kılıçlar B, Metehan Makinacı, Makinacı M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.111
In this paper we presents an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few works have been done about the offline handwrit…
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 GAUSS FONKSİYONLARI İLE PENCERELENMİŞ POLİNOM AKTİVASYON FONKSİYONU KULLANAN DALGACIK SİNİR AĞI İLE YAPAY SİNİR AĞLARININ, ÇOK KISA VADELİ RÜZGAR HIZI TAHMİNİNDE, TAHMİN BAŞARIMLARININ KARŞILAŞTIRILMASI
Serkan Şenkal, Şenkal S, Cem Emeksiz, Emeksiz C
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Fosil bazlı yakıtların giderek ömrünü tamamladığı dünyamızda alternatif enerji kaynaklarının önemi hızla artmaktadır. Bir alternatif enerji şekli olan rüzgar enerjisinde, rüzgar türbinleri kurulu olduğu alanın sadece %1’ini işgal etmesi ve kurulduğu kırsal ala…
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 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…
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 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 Intrusion detection system using Optimized Machine Learning Algorithms for cyberattacks in the Internet of Vehicles (IoV)
Mamadou Korka Diallo, Diallo M, Oğuzhan Karahan, Karahan O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0013
The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…
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 Palmprint Recognition Using Pre-Trained Convolutional Neural Networks
Nader Ebrahimpour, Ebrahimpour N, Faruk Baturalp Günay, Günay F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.018
Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…
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 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 Article
Open Access The Use of a Robust-Adaptive Self Organizing Map to Enhance the Prediction Performance of Clinical Datasets
Naim Ajlouni, Ajlouni N, Alaa Ali Hameed, Hameed A, Ali Güneş, Güneş A, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.031
Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…
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…