62 results for “Text mining”
Research Article
Open Access Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001
Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …
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 Prediction of Recurrence of Differentiated Thyroid Cancer with Hybrid SMOTE-Stacking Model
Erkan Akkur, Akkur E, Serkan Cizmecioğulları, Cizmecioğulları S, Ahmet Cankat Öztürk, Öztürk A
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.6.033
Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …
Review
Open Access Seismic Data Analysis with Deep Learning Models: Methods, Applications, and Future Perspectives
Betül Ağaoğlu, Ağaoğlu B, İman Askerzade, Askerzade İ, Gazi Erkan Bostancı, Bostancı G, İhsan Tolga Medeni, Medeni İ
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00120
Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…
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 Enhancing Offline Handwritten Signature Identification with Pre-Trained CNN Architectures
Nader Ebrahimpour, Ebrahimpour N
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0030
Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…
Research Article
Open Access Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering
Güvenç Arslan, Arslan G, Nisa Nur Bülbül, Bülbül N
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.010
Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…
Research Article
Open Access The Effect of the Visualization Type of Data Received from the X Platform on Manipulation Detection with Deep Learning
Hafzullah İş, İş H
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.031
Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …
Research Article
Open Access Face Mask Detection Using Deep Learning For Public Places
Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Dala KRAYEM, KRAYEM D, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.004
Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…
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 Sensitivity Analysis For Control Parameters Of Hybrid And Standard PSO Algorithms: Application Via A Rainfall-runoff Model Calibration
Umut Okkan, Okkan U, Umut Kırdemir, Kırdemir U
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.085
In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…
Research Article
Open Access Experiment of Different Mutation Strategies in Differential Evolution Algorithm Employed for Calibration of a Lumped Water Balance Model
Umut Okkan, Okkan U, Umut Kırdemir, Kırdemir U
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.086
Differential evolution algorithm (DEA) is one featured kind of population based evolutionary algorithms. Although it is stated in previous studies that the algorithm is more sensitive to the crossover rate, it is tried out in this study whether DEA depends on …
Research Article
Open Access Effect of Ultrasonic Energy on Flotation Behavior of Pyrite Mineral
Ümit Horasan, Horasan Ü, Mehmet Tanrıverdi, Tanrıverdi M, Tayfun Çiçek, Çiçek T
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.110
Pyrite is a mineral which has very low economic value although it is very common in the world. When the pyrite is concentrated together with the precious minerals, it produces a decrease in the grade and an increase in the smelting costs of the precious minera…
Research Article
Open Access Ağır Metallerle Kirlenmiş Toprakların İyileştirilmesinde Fitoremediasyon Yöntemi: Tıbbi ve Aromatik Bitkilerin Uygunluğu
Mahmut Yıldıztekin, Yıldıztekin M, Hatice Ulusoy, Ulusoy H, Atilla Levent Tuna, Tuna A
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.133
Ağır metal kirliliği dünya çapında ciddi boyutlara gelmiş bir sorundur. Günümüz endüstriyel toplumunda, toksik kimyasallara ve metallere maruz kalmaktan kaçınmanın bir yolu bulunmamaktadır. Çevrenin önemli bir bölümü olan tarım toprakları bu olgunun bir parças…
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 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 Donatılı Toprak Duvar (Toprakarme) İmalatında Beton Panel Yerine Atık Lastiklerin Kullanılmasının Araştırılması
Hasan SÖYLEMEZ , SÖYLEMEZ H, Oğuzhan Yavuz BAYRAKTAR , BAYRAKTAR O
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Tüm dünyada evsel ve endüstriyel üretim işlemlerine bağlı olarak atık maddeler üretilmektedir. Atık maddelerin miktarı her geçen gün artmaktadır. Ayrıca atık maddelerin depo edileceği alanlar azalmakta ve tekrar kullanım alanları sınırlıdır. Atık maddeler çeşi…
Research Article
Open Access Kompleks Değerli Yapay Sinir Ağları ile Kardiotokogram Verisinde Morfolojik Örüntü Sınıflandırma
Eda Çapa Kızıltaş , Çapa Kızıltaş E, Ayşenur Uzun , Uzun A, Ersen Yılmaz , Yılmaz E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…
Research Article
Open Access Türkiye'de Twitter Verilerinden Faydalanarak Ahşap Malzeme Üzerine Eğilimlerin Belirlenmesi
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Dünyadaki veri miktarı büyük bir hızla artmaktadır. Günümüzde veriler bilim insanları tarafından en değerli hammadde
olarak düşünülmektedir. Veri madenciliği çalışmaları gelişmiş ülkeler için kritik bir konudur. Bu nedenle her alanda veri
çalışmalarına büyük…
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…