345 results for “real-time computing”
Research Article
Open Access A Mobile Robot Application for 3D Object Classification via Point Cloud Data in Indoor Environment
Fatma Caran, Caran F, Güleycan Tuğrul, Tuğrul G, Ümit Göven, Göven Ü, Kaya Turgut, Turgut K, Burak Kaleci, Kaleci B
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.038
3D object classification has been widely studied in robotic community in recent years. According to types of features that are utilized to describe an object, 3D object classification studies can be separated into two main categories (local and global).The loc…
Research Article
Open Access Object Recognition System Based on Oriented FAST and Rotated BRIEF
Majeed A. Mohsin ABDULMAJEED, ABDULMAJEED M, Levent Seyfi, Seyfi L
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial
intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an
object recogni…
Research Article
Open Access Forecast of Daily Average Air Temperature by Artificial Neural Networks: Yozgat Province Case
Tolga Hayıt, Hayıt T, Ömer Dağıstanlı, Dağıstanlı Ö, Gökalp Çınarer, Çınarer G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…
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 P3b amplitudes differences in ultra-rapid visual categorization task of food and non-food items
Tawhida Jahan, Jahan T
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.003
P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…
Research Article
Open Access Takım Elbise Ceket Üretiminde İş Akışı ve Standart Birim Sürenin Belirlenmesi
Can Ünal, Ünal C
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Bu çalışmada takım elbise üretimi yapılan bir firmada klasik ceket üretimi için üretim akışı oluşturulmuş, daha sonra bu
bantta zaman etüdü uygulaması yapılmış ve bu uygulama ile standart süreleri belirlenmiştir. Çalışma kapsamında, her
departmana ait farklı…
Research Article
Open Access Blockchain Powered Interaction for Gamification of Smart Cities
Yasin Celik, Celik Y
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.8.001
The rapid growth of city populations and the increasing complexity of managing city infrastructure have led to the emergence of smart cities, which rely on advanced technologies to optimise urban services. However, one of the key challenges facing smart cities…
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 A New Cash Register for Fuel Stations with Resistant Outdoor Conditions: Design Considerations
Tarık Güneş, Güneş T, Kemal Aşçı, Aşçı K, Hüseyin Temur, Temur H, Gökhan Burtul, Burtul G, Fatih Abut, Abut F, M. Fatih Akay, Akay M, M. Şükrü Aygün, Aygün M
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.001
The Head of Revenue Administration (HRA) in Turkey imposes the obligation to use new generation payment recording devices (NG PRDs) at fuel stations. The pump and the cash register were separate units in old payment systems, and communication was provided via …
Research Article
Open Access The Effects of BİLZÖS Intelligent Tutoring System on The Student’s Success
Yılmaz Öztürk , Öztürk Y, Yavuz Ünal , Ünal Y, Recep Çakır , Çakır R
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Artificial intelligence is used at the many fields of our lives in a successful way. The education is the one of these fields. Intelligent Tutoring System is the one of the Artificial intelligence using methods at the education fields. Intelligent Tutoring Sys…
Research Article
Open Access Fotovoltaik Sistemler için Bozkurt Optimizasyonu Tabanlı MPPT Yöntemi Tasarımı
Koray Atıcı, Atıcı K, Necmi Altın, Altın N, İbrahim Sefa, Sefa İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Fotovoltaik (FV) sistemler birkaç W’dan, MW’a kadar ölçeklendirilebilmesi gibi özelliklerinden dolayı en çok yaygınlaşan yenilenebilir enerji kaynağı türüdür. Bu enerji kaynağından en yüksek oranda yararlanılabilmesi maksimum güç noktasını izleyen (MPPT) dönüş…
Research Article
Open Access Karar Ağaçları ile Otistik Spektrum Bozukluğu Tanısı Koyma
Büşra DUYGU , DUYGU B, Merve KOCAOĞLU , KOCAOĞLU M, Aysun COŞKUN , COŞKUN A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Çalışmamız; sosyal etkileşim, tekrarlayan davranışlar, kısıtlı ilgi alanları ve iletişim sorunu olarak ortaya çıkan ve ömür boyu devam eden bir gelişim bozukluğu olan Otizmin erken tanısı üzerine gerçekleştirilmiştir. Karar ağacı algoritmaları ile Otistik Spek…
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 PROMOSYON ÜRÜNLERDE KULLANILAN QR BARKODLARLA UYGULAMA GÜVENLİĞİ
Yunus Özcan, Özcan Y
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Sektörel rekabetin artmasıyla, şirketler sundukları hizmet kalitesi ve ürün çeşitliliğinde birbirileri
karşısında üstünlük sağlamaya çalışmaktadırlar. Şirketlerin üstünlük sağlamak için kullandığı yollardan biri de
promosyon ürün veya belli bir ürün alımında…
Research Article
Open Access Parallel Image Processing Algorithms on GPU Environment
Zafer Güler, Güler Z, Ahmet Çınar, Çınar A, Erdal Özbay, Özbay E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The use of GPUs for general purpose applications is not a recent approach, but it was quickly becoming widespread with NVIDIA's CUDA (Compute Unified Device Architecture) architecture based on C programming language in 2007. Algorithms suitable for parallel op…
Research Article
Open Access Cryptanalysis using Artificial Bee Colony Algorithm Guided by Frequency based Fitness Value
Arkan Kh Shakr Sabonchi, Sabonchi A, Bahriye Akay, Akay B
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…
Abstract Only
Open Access Green Bond Market Efficiency Test and Forecasting of Green Bond Prices
Gülsüm Akarsu, Akarsu G
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Climate change and environmental concerns led the investors to search for environmentally sustainable and friendly investments. Green bonds market has emerged as a result of this need. This study aims to analyze this market focusing on market efficiency. Marke…
Research Article
Open Access The Determination of Seismogenic Features of Faults by Using Geophysical and Geodetic Imaging Method for Forecast Earthquakes: North Anatolian Fault Zone Example
Şakir Şahin, Şahin Ş, Guoyan Jiang , Jiang G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Size of damage caused by an earthquake depends on the amount of energy released by the current stress accumulation of the active faults and the change over time. Stress accumulation on a fault occurs in two types. These are 1) the long-term tectonic movements …
Research Article
Open Access Detecting Fraud, Waste, and Abuse in Healthcare Claims using AI: Applying Isolation Forest to Claim Analytics
Naren Chandra, Chandra N, Vineel Arekapudi, Arekapudi V
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.3.023
Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…
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 …