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147 results for “fire detection”

Research Article Open Access Energy Loss and Panel Fault Detection in Solar photovoltaic Systems Using Extreme Gradient Boosting algorithm
Fatma Zehra Kardas, Kardas F, Adem Atmaca, Atmaca A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.59.001

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

Research Article Open Access Pseudomonas aeruginosa detection methods from ground beef and chicken meat samples
Belgin Sırıken, Sırıken B, Gökhan İnat, İnat G, Ceren Başkan, Başkan C
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.082

In this study, chicken and ground beef samples purchased from supermarkets and butchers in Samsun Province were analyzed for presence of Pseudomonas (P.) aeruginosa. In this case, classical culture technique were applied with molecular techniques. Isolation wa…

Research Article Open Access Effect of Non-Gaussian Noise on Detection Performance of Multi-Stage Detectors
Timur Düzenli, Düzenli T, Olcay Akay, Akay O
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.105

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

Research Article Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Research Article Open Access Yer Uydu Haberleşme Sisteminde Mikroşerit Dikdörtgensel Yama Anten Kullanılarak XBee İletişim Mesafesinin İyileştirilmesi
Mehmet Duman, Duman M, Emir Ertan, Ertan E, Seyit Ahmet Koç, Koç S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.009

Bu projede, Digi Firması’na ait IEEE 802.15.4 internet protokolüne sahip olan ayrıca ZigBee ağ haberleşme sistemine uygun olarak geliştirilen ve 2.4 GHz frekansında çalışan XBee S2C cihazları kullanılmıştır. Yer uydu haberleşme sistemine entegre edilerek alıcı…

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 ELECTRA ve XLNET Modellerini Kullanarak X Verilerinden İntihara Meyilli İçerikleri Tespit Etme
Tolga Aydın, Aydın T, Muhammet Coşkun Irmak, Irmak M
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.019

İntihar konusu, birçok farklı disiplin tarafından incelenen ve tarihin her döneminde karşılaşılan bir konu olmuştur. Teknolojinin gelişimi ve akıllı telefonların her yerde bulunması sebebiyle, kullanıcılar, özellikle çevrimiçi sosyal platformlar aracılığıyla d…

Research Article Open Access Error Control of Cylindrical Objects with Image Processing
Kürşad Uçar, Uçar K, Hasan Erdinç Koçer, Koçer H
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …

Research Article Open Access PID Parameter Optimization By Using Ant Colony And Cuckoo Algorithms For Boost Converter
Önder Civelek, Civelek Ö, Metin Tüysüz, Tüysüz M, Mustafa Şinasi Ayas, Ayas M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.069

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

Research Article Open Access Uçucu Küllü Geopolimer Harcın Özellikleri
Hayrettin Tokay, Tokay H, Osman Gençel, Gençel O
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu çalışmanın hedefi, silis kumu (SK) ve Termik Santralinden elde edilen uçucu kül (UK) kullanılarak geopolimer harç üretmektir. Bu çalışmada uçucu külü aktive etmek için çimento yerine, aktivatör (Na2SiO3 ve NaOH) ve uçucu kül (UK) birleştirilip bağlayıcı mad…

Research Article Open Access A RESEARCH ON DETERMINING THE MEDIATING ROLE OF ORGANIZATIONAL SERVICE ORIENTATION IN THE EFFECT OF INTERNAL MARKETING PRACTICES ON ORGANIZATIONAL COMMITMENT
Ebru Sönmez Karapınar, Sönmez Karapınar E, Yasemin Kaya Harmancı, Kaya Harmancı Y
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Internal marketing includes activities that enable human resource management practices such as attracting, developing, motivating and retaining talented personnel to provide external customer satisfaction, as well as activities that provide internal customer…

Research Article Open Access Mobile Control of Intelligent Home Automation
İlker Yıldız, Yıldız İ, Muhsin Uğur Doğan, Doğan M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Nowadays, home automation systems are one of the areas where technological developments are applied. Thus, devices such as doors, windows, lighting, heating, cooling, security cameras, elevator, fire, water pressure, garage, solar energy systems and TVs, curta…

Review Open Access A Survey on The Use of Generative AI in Aviation
Niyazi Ahmet Metin, Metin N, Selin Sevcan Çakan, Çakan S, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00106

The main goal of this research is to investigate the potential and current role of generative AI in improving and developing avionics systems, and aviation-related applications. Avionics, a vital part of aviation industry, consists of a set of equipment and el…

Research Article Open Access Accurate and Scalable Object Detection for Smart Warehousing Using YOLOv8 and Residual CNNs
Iman Elawady, Elawady I, Abdulrahman Al Homsi, Homsi A, Omer Ahmed Mohamed Ahmed, Ahmed O
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.51.001

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

Research Article Open Access Pseudomonas aeruginosa detection methods from fish samples
Belgin Sırıken, Sırıken B, Veli Öz, Öz V, Ceren Başkan, Başkan C
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.083

A total of 70 fish samples were randomly purchased from different butchers and supermarkets brands in Samsun Province, Turkey in 2018, and analysed for present of Pseudomonas (P.) aeruginosa. For that purpose, P.  aeruginosa isolation was carried out in conven…

Research Article Open Access Bilişsel Radyo Ağlarında Çevrimiçi Öğrenme Tabanlı İşbirlikçi Spektrum Algılama Algoritmasının Sönümlü Kanallardaki Başarımı
Kenan Koçkaya, Koçkaya K, İbrahim Develi, Develi İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Spektrum algılamada amaç spektrum boşluklarının doğru ve hızlı bir şekilde algılanmasıdır. Bu nedenle bilişsel radyo ağlarının başarımı büyük ölçüde spektrum algılama işlevine bağlıdır. Bu çalışmada, bilişsel radyo ağlarında spektrum algılma başarımını artırma…

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 Comparative Analysis of Deep Learning Models for COVID-19 Detection in X-Ray Images
Ali Bayram, Bayram A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.39.001

The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…

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 Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz, Cengiz E, Cemal Yılmaz, Yılmaz C, Hamdi Tolga Kahraman, Kahraman H, Fatih Bayram, Bayram F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.107

 In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …

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