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186 results for “Convolutional Neural Network”

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 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 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 Çok Katmanlı Algılayıcı Yapay Sinir Ağı Kullanarak Packman Oyununda Yapılan El Hareketlerinin Sınıflandırılması
Rukiye Uzun Arslan, Uzun Arslan R, Gizem Kübra Yaman, Yaman G, Yalçın İşler, İşler Y
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.076

Elektromiyografi, kas aktivitesi sonucunda meydana gelen biyolojik işaretlerin ölçülmesine olanak sağlayan invaziv olmayan bir yöntemidir. Yüzey ve iğne elektromiyografisi olarak uygulama amacına göre iki şekilde kullanılmaktadır.  Bu çalışmada internet üzerin…

Research Article Open Access Support Vector Machine Classifier of Grain Stored in Silo-bags by Using Wireless Network of Temperature and Moisture Sensors
Shawqi Mohammed Othman Farea, Mohammed Othman Farea S, Muzaffer   Kanaan, Kanaan M
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.003

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

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 Community Detection in Social Media Network with Maximum Modularity Using Girvan-Newman Algorithm
Ali Fatih Gündüz, Gündüz A, Ahmet Karadoğan, Karadoğan A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Social networks are formed from interactions of peoples. Measuring the degree of those relationships requires interpreting connectivity of vertices and extracting information from it. Generally individuals form smaller sub-communities in those networks. Identi…

Research Article Open Access Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas  R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001

Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

Research Article Open Access Modelling and Controller Design for Ball and Beam System
O. Tolga  Altinoz, Altinoz O, A. Egemen Yilmaz, Yilmaz A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Ball and beam system is an experimental set for control system design that the position of the ball on a beam is changed with respect to the reference direction by changing the angle of the beam. The PID controller is applied to this problem. The performance o…

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 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…

Research Article Open Access Comparison the forecasting performance of wavelet activation functions in wind speed prediction with wavelet neural networks
Mustafa Demir, Demir M, Turgut Özseven, Özseven T, Arzu Sarıgül, Sarıgül A, Serkan Şenkal, Şenkal S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

The integration of increasing renewable energy-based energy production into the existing electricity grid has become of great importance. The biggest difficulty to integration into the power grid is variability and discontinuity of wind energy. To deal with th…

Research Article Open Access MPAA Rating Prediction Based on Deep Learning
Caner    BALIM, BALIM C, Ugur    GUREL, GUREL U
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

The Motion Picture Association of America(MPAA) is used in the United States to rate a film's compatibility via its content. These systems evaluate ratings according to the scenes in the movies. In this work, a deep learning based classification technique is p…

Research Article Open Access Detection of Apnea Event with ANN Using Acceleration Data
Harun Sümbül, Sümbül H, A. Hayrettin Yüzer, Yüzer A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

In this study, the accelerations caused by the diaphragm movements during respiration were monitored with a 3-axis accelerometer and the measured accelerations were recorded on an SD card. A measurement system for this purpose was developed. The moments in whi…

Research Article Open Access Welding Quality Analysis Using Robotic Based System
Şahin Yıldırım, Yıldırım Ş, Burak Ulu, Ulu B
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Nowadays, competition in industrial production has come to the top with technological improvements. In this competitive environment, producers need better quality, faster and less costly production methods. So, the use of industrial robotic systems is becoming…

Research Article Open Access Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına, Kına E, Recep Özdağ, Özdağ R
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.1.001

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

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 Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide