262 results for “Machine learning algorithms”
Research Article
Open Access Karar Ağacı Algoritmalarıyla Öğrencilerin Akademik Performans Verilerinin Sınıflandırılması
Büşra Duygu, Duygu B, Nursal Arıcı, Arıcı N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Eğitim sektörünün giderek büyüyen yapısında, yükseköğretim kurumları, öğrenci performansının akademik olarak iyileştirilmesi ve öğrencilerin okulu bırakmalarını önlemek için veri madenciliği araçlarını ve tekniklerini kullanmaktadır. Veriler sosyo-ekonomik, de…
Research Article
Open Access Palmprint Recognition Using Pre-Trained Convolutional Neural Networks
Nader Ebrahimpour, Ebrahimpour N, Faruk Baturalp Günay, Günay F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.018
Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…
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 R-MUSIC ve ESPRIT Yöntemlerinin Yankı Çözünürlüğü Açısından Karşılaştırılması
Gaye Yeşim Taflan, Taflan G, Hülya Gökalp, Gökalp H
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Bu çalışmada, frekans çözünürlüğünün (yankı çözünürlüğünün) R-MUSIC (Root-MUSIC, Çoklu Sinyal Sınıflandırma)
ve ESPRIT (Rotasyonel Değişmezlik Tekniği ile İşaret Parametrelerinin Kestirimi) yöntemleri kullanılarak nasıl değiştiği
incelenmiştir. Bu yöntemler,…
Research Article
Open Access Heuristic solution with similarity, affinities and projective transformation problems with Backtracing Search Algorithm (BSA)
Mehmet Akif Günen, Günen M, Pınar Çivicioğlu, Çivicioğlu P, Erkan Beşdok, Beşdok E
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In this paper, three different types of coordinate transformations that are frequently used in geodetic applications are given the details of their application with evolutionary algorithms. Similarity (Helmert), Affin and Projective transformation models commo…
Research Article
Open Access The Use of a Robust-Adaptive Self Organizing Map to Enhance the Prediction Performance of Clinical Datasets
Naim Ajlouni, Ajlouni N, Alaa Ali Hameed, Hameed A, Ali Güneş, Güneş A, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.031
Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…
Research Article
Open Access A New Convolutional Neural Network Model for Skin Cancer Detection in Dermatoscopic Images
Mustafa Furkan Keskenler, Keskenler M, Deniz Dal, Dal D
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.006
Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…
Research Article
Open Access CNC Tezgahlarından MT Connect Verileri ile Duruş ve Çalışma Analizi
Metin Yılmaz , Yılmaz M, Uğur Gürel, Gürel U
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Özet – Bu çalışmada CNC tezgahlardan MT Connect standardında oluşturulan, tezgah çalışma verileri alınıp kullanılarak duruş ve çalışma analizi yapılması hedeflenmiştir. Günümüzde CNC bazında üretim planlaması yapmak imalat fabrikalarının en önemli sorunlarında…
Research Article
Open Access Enhancing Financial Market Sentiment Analysis Using Dataset Augmentation
Dante Contella, Contella D, Johnson Kinyua, Kinyua J, Charles Mutigwe, Mutigwe C
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.5.039
We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…
Research Article
Open Access Recognition of Handwritten Source Code Characters With Deep Neural Networks
Barış Kılıçlar, Kılıçlar B, Metehan Makinacı, Makinacı M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.111
In this paper we presents an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few works have been done about the offline handwrit…
Research Article
Open Access Kronik Böbrek Hastalığının Makine Öğrenmesi Teknikleri ile Sınıflandırılması
Mustafa İlker ERDURSUN , ERDURSUN M, Hasan ERBAY , ERBAY H, Ömer Faruk AKMEŞE , AKMEŞE Ö, İbrahim DOĞAN , DOĞAN İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…
Research Article
Open Access Bitki Hastalıklarını Tespit Eden Görüntü İşleme Sistemli Mobil Uygulama
Yiğitcan Soylu, Soylu Y, Mustafa Altıok, Altıok M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.43.001
Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…
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 Students’ Ideas about Anatomy 4D Program in Inquiry Based Learning Classroom
Aslı Yerlikaya, Yerlikaya A, M. Handan Güneş, Güneş M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Inquiry-based learning is important for students to understand scientific knowledge and the working systems of
scientists to develop their knowledge. For this, students should have some skills, and if they do not have, these skills need to be
gained. Some of…
Research Article
Open Access Language Learning Strategy Preferences of 1st Year Students of Uzunköprü Vocational College
Aybüke Arık, Arık A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
What makes a learner “a good learner” and how we can use this to improve the learning of the other learners have long been discussed and studied. Studies conducted throughout years have shown that “Language Learning Strategies” affect the learners in many ways…
Research Article
Open Access Empowering the Next Generation: Integrating AI Literacy into Modern Education
Hamdi Erkunt, Erkunt H
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.014
Today's students frequently engage with AI daily, yet many still need to learn the underlying principles. With AI becoming an integral part of modern society, the importance of AI literacy in schools is ever-increasing. This paper discusses the essence of AI l…
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 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 Mobil Manipülatörler için Derin Öğrenme Tabanlı Arıza Teşhis Sistemi
Zekican Yılmaz, Yılmaz Z, Tolga Yüksel, Yüksel T
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.011
Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…
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…