138 results for “Generative Adversarial Networks”
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 A Deep Learning Framework for the Identification of Distinct Stages in Diabetic Retinopathy through Retinal Image Analysis
A.D.P. Rupasinghe, Rupasinghe A, K.G. Samarawickrama, Samarawickrama K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.3.001
Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …
Research Article
Open Access Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001
Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…
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 Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis, Didis H, Firuze Adibeli, Adibeli F, Ilayda Boz, Boz I, Nesli S. Azdavay, Azdavay N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.3.012
The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…
Research Article
Open Access Hyperparameter Optimization of a Faster R-CNN Model For Fault Detection In Quality Control
Abdullah Yüksel, Yüksel A, Oğuzhan Karahan, Karahan O
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.5.023
Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
Research Article
Open Access Operative-predictive control of a reactor plant based on fuzzy models
Malika Doshanova, Doshanova M, Ortiq Ruzibayev, Ruzibayev O, Sherzod Sabirov, Sabirov S, Oybek Begimov, Begimov O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0034
This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…
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 Problems of Network Data Storage and Cloud Databases
S.Mubariz Khalilov, Khalilov S, Irada B. Dadashova, Dadashova I
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.008
In cloud environments, especially database manageability is a particularly important quality. This necessitates the development of database self-management technologies that have been explored in the past decade. A separate problem is the absolute scale of clo…
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 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 Akut Lenfoblastik Löseminin Makine Öğrenimi ile Sınıflandırılması
Ayşe Berika Varol Malkoçoğlu , Varol Malkoçoğlu A, İsmail İşeri, İşeri İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.139
Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…
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 İnsansız Hava aracı (İHA) Görüntülerindeki Nesnelerin Kapsül Ağları Kullanılarak Sınıflandırılması
Atakan Körez , Körez A, Necaattin Barışcı , Barışcı N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Drone ya da İnsansız Hava Araçları (İHA), günümüzde birçok farklı sektör tarafından aktif şekilde kullanılmaktadır. Özellikle son yıllarda popülerlik kazanmayı başaran drone'lar; reklamcılıktan kargo taşımacılığına kadar çeşitli görevler üstlenebilmektedir. İH…
Research Article
Open Access A Data Analysis and Behavior Model for Study of Consumer Service in the Financial Sector
Sultan Tatlılıoğlu , Tatlılıoğlu S, Dionysis Goularas , Goularas D
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …
Research Article
Open Access Gait Recognition using RGB-D Camera for Player Labeling
Yilmaz Atay, Atay Y, Agusta Wicaksono, Wicaksono A, Ahmet Arslan , Arslan A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…
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 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 TEA ve XTEA Şifreleme Algoritmaları İçin Kaos Tabanlı Kaydırma Dizisi Oluşturulması ve Uygulanması
Cebrail Çiftlikli, Çiftlikli C, Kadir Aba, Aba K
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
İlk olarak 1999 yılında RFID teknolojisinin kullanımının önerildiği bir sunumda kullanılan Nesnelerin İnterneti kavramı
(IoT); cihazların kendi aralarında konuştuğu (veri iletişimi yaptığı, bilgi topladığı, toplanan bilgiler ile karar verdiği) bir ağ yapısı
…