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Yayın Türü

Yayın Alt Türü

(WOS) Araştırma Alanları

SDG

Araştırmacılar

Yıl


Machine learning-driven predictive modeling of natural frequency and displacement in perforated diaphragms for enhanced structural analysis Yıldız F., KAVUNCUOĞLU E. Journal of Computational Electronics , cilt.25, sa.1, 2026 (SCI-Expanded, Scopus)
Efficient quality classification of pretreated and dehydrated carrots using feature selection and intelligent models KAVUNCUOĞLU E., ÇETİN N., BUZPINAR M. A., Gunaydin S., SAÇILIK K., Cheein F. A. Journal of the Science of Food and Agriculture , cilt.106, sa.5, ss.3092-3117, 2026 (SCI-Expanded, Scopus)
Deep Learning Models for Accurate Arrhythmia Classification in Cardiology KAVUNCUOĞLU E., BUZPINAR M. A. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online) , cilt.9, sa.2, ss.922-945, 2026 (TRDizin)
Deep Learning-Driven Non-Destructive Testing: Optimizing Defect Detection with Ensemble Strategies KAVUNCUOĞLU E. TURKISH JOURNAL OF AGRICULTURAL AND NATURAL SCIENCE , cilt.13, sa.1, ss.173-199, 2026 (TRDizin)
Model comparison and hyperparameter optimization for visible and near-infrared (Vis-NIR) spectral classification of dehydrated banana slices Buzpinar M. A., Gunaydin S., Kavuncuoğlu E., Cetin N., Sacilik K., Cheein F. A. EXPERT SYSTEMS WITH APPLICATIONS , cilt.283, ss.1-22, 2025 (SCI-Expanded, Scopus)
Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study Kavuncuoğlu E., Özdemir A. T., Uzunhisarcıklı E. MULTIMEDIA TOOLS AND APPLICATIONS , cilt.84, sa.1, ss.26569-26608, 2025 (SCI-Expanded)
Performance comparison of deep and transfer learning models for smart soil texture classification ÇETİN N., KAVUNCUOĞLU E., BUZPINAR M. A., Gunaydin S., KAPLAN S. Computers and Electronics in Agriculture , cilt.237, 2025 (SCI-Expanded)
Machine learning (ML) algorithms for prediction of low temperature co-fired ceramic (LTCC) diaphragm performance Kavuncuoğlu E., Yıldız F. MICROSYSTEM TECHNOLOGIES , cilt.1, ss.1-21, 2025 (SCI-Expanded)
Comprehensive analysis of feature‐algorithm interactions for fall detection across age groups via machine learning Kavuncuoğlu E. COMPUTATIONAL INTELLIGENCE AN INTERNATIONAL JOURNAL , cilt.40, sa.5, ss.1-34, 2024 (SCI-Expanded)
Exploring the Performance of PySpark and Scikit-Learn Libraries in Developing Fall Detection Systems KAVUNCUOĞLU E. ENGINEERING SCIENCES , cilt.13, ss.582-592, 2024 (Hakemli Dergi)
Exploration of Machine Learning Algorithms for pH and Moisture Estimation in Apples Using VIS-NIR Imaging Kavuncuoğlu E., Çetin N., Yildirim B., Nadimi M., Paliwal J. APPLIED SCIENCES , cilt.13, sa.14, ss.1-13, 2023 (SCI-Expanded, Scopus)
Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits Çetin N., Karaman K., Kavuncuoğlu E., Yıldırım B., Jahanbakhshi A. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , cilt.230, sa.1, ss.1-29, 2022 (SCI-Expanded, Scopus)
Artificial Intelligence (AI) algorithms for evaluation of optical fiber scintillation detector performance Kavuncuoğlu E., Yıldız F., Özdemir A. T. Optik , cilt.258, ss.1-16, 2022 (SCI-Expanded)
Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers Zöngür A., Kavuncuoglu H., Kavuncuoğlu E., Dursun Çapar T., Yalçın H., Buzpınar M. A. JOURNAL OF MICROBIOLOGICAL METHODS , cilt.192, 2022 (SCI-Expanded, Scopus)
Investigating the Performance of Wearable Motion Sensors on recognizing falls and daily activities via machine learning Kavuncuoğlu E., Uzunhisarcıklı E., Barshan B., Özdemir A. T. Digital Signal Processing , cilt.103365, sa.126, ss.1-2, 2022 (SCI-Expanded)
Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition UZUNHİSARCIKLI E., KAVUNCUOĞLU E., ÖZDEMİR A. T. COMPUTATIONAL INTELLIGENCE , cilt.38, sa.4, ss.1402-1449, 2022 (SCI-Expanded)
PREDICTION OF COMPUTER GAME ADDICTION IN CHILDREN USING DEVELOPED ARTIFICIAL NEURAL NETWORKS (ANN) AND MULTIPLE LINEAR REGRESSION (MLR) MODELS UZUNHİSARCIKLI E., KAVUNCUOĞLU E., AKGÜL H. Trakya Üniversitesi Sosyal Bilimler Dergisi , cilt.23, sa.2, ss.551-570, 2021 (Hakemli Dergi)
Effects of Economic Growth on Employment: Comparison of Artificial Neural Network and Multilinear Regression as an Forecasting Model in the Light of GDP and Employment Data ÜNLÜ ASLAN M., KAVUNCUOĞLU E., UZUNHİSARCIKLI E. Journal of Business Academy , cilt.1, sa.3, ss.235-260, 2020 (Hakemli Dergi)
ESTIMATION OF EMOTIONAL AND SOCIAL LONELINESS IN ELDERS WITH THE DEVELOPED ARTIFICIAL NEURAL NETWORKS AND MULTIPLE LINEAR REGRESSION MODELS Uzunhisarcıklı E., Akgül H., Kavuncuoğlu E. Mugla Journal of Science and Technology , cilt.6, sa.1, ss.50-62, 2020 (Hakemli Dergi)
Prediction of the antimicrobial activity of walnut (Juglans regia L.) kernel aqueous extracts using artificial neural network and multiple linear regression KAVUNCUOĞLU H., KAVUNCUOĞLU E., KARATAŞ Ş. M., Benli B., SAĞDIÇ O., YALÇIN H. JOURNAL OF MICROBIOLOGICAL METHODS , cilt.148, ss.78-86, 2018 (SCI-Expanded, Scopus)
The reevaluate statistical results of aproach about pedagogy of anatolian in parents, lived in one Anatolian City using artificial neural network and multivariate regression analysis UZUNHİSARCIKLI E., ŞENOL V., KAVUNCUOĞLU E., PEKŞEN AKÇA R., ÇETİNKAYA F. Turkish Online Journal Of Educational Technology , cilt.1, sa.1, ss.573-584, 2016 (Scopus)
Relationships between Skin Cancers and Blood Groups - Link between Non-melanomas and ABO/Rh Factors Cihan Y. B., Baykan H., KAVUNCUOĞLU E., Mutlu H., Kucukoglu M. B., Ozyurt K., et al. ASIAN PACIFIC JOURNAL OF CANCER PREVENTION , cilt.14, sa.7, ss.4199-4203, 2013 (SCI-Expanded)
BATARYA VE BATARYA SİSTEMLERİNİN GELECEĞİNDE YAPAY ZEKA FAKTÖRÜ KAVUNCUOĞLU E. Mühendislik Alanında Uluslararası Araştırma ve Değerlendirmeler, Doç. Dr. Selahattin Bardak, Editör, Serüven Yayın Evi, ss.39-63, 2023
KERAS FUNCTIONAL API VE İLERİ DERİN ÖĞRENME DİNAMİKLERİ: UYGULAMALI BİR KILAVUZ KAVUNCUOĞLU E. Mühendislik Alanında Uluslararası Araştırma ve Değerlendirmeler, Doç. Dr. Nurettin Akçakale, Doç. Dr. Selahattin Bardak, Editör, Serüven Yayın Evi, ss.1-26, 2023
Prediction of Soluble Solids Content in Sweet Cherries Using Dielectric Spectroscopy and Convolutional Neural Network SAÇILIK K., BUZPINAR M. A., KAVUNCUOĞLU E., ÇETİN N. 15th International Congress of the Innovative Agricultural Technologies, IAT 2025, Antalya, Türkiye, 15 - 19 Ekim 2025, cilt.805 LNCE, ss.195-212, (Tam Metin Bildiri)
Fall Detection using Sound with FPGA Signal Analysis and Machine Learning Integration Andre M. V., ÖZDEMİR A. T., KAVUNCUOĞLU E. ICMLAS 2025, Tayland, 10 Mart 2025, (Tam Metin Bildiri)
ENHANCING REGRESSION MODELING IN MATERIALS SCIENCE: EVALUATING SYNTHETIC DATA AUGMENTATION FOR MECHANICAL DISPLACEMENT PREDICTION KAVUNCUOĞLU E. ICSAS 5th INTERNATIONAL CONFERENCE ON ARTIFICAL INTELLIGENCE AND INFORMATION TECHNOLOGIES, İzmir, Türkiye, 19 - 21 Eylül 2025, (Özet Bildiri)
APPLICABILITY OF KERAS FUNCTIONAL API IN ARTIFICIAL INTELLIGENCE RESEARCH KAVUNCUOĞLU E. INTERNATIONAL TOPKAPI CONGRESS II, 20 - 21 Ekim 2023, (Özet Bildiri)
Comparison of list based high average utility itemsets mining algorithms ERDOĞMUŞ A., ARIKAN G., YILDIRIM İ., ÇELİK M. TURK-COSE 2023: V. Uluslararası Türk Dünyası Fen Bilimleri ve Mühendislik Kongresi, Bishkek, Kırgızistan, 15 - 17 Eylül 2023, ss.155-163
AN OVERVIEW OF THE USE OF MOTION SENSORS IN FALL DETECTION AND ACTIVITY RECOGNITION KAVUNCUOĞLU E. 2ND INTERNATIONAL IZMIR CONGRESS ON LIFE, ENGINEERING, AND APPLIED SCIENCES, 14 - 16 Ekim 2023, (Özet Bildiri)
PYSPARK: A TOOL FOR SCALABLE DATA ANALYTICS IN ARTIFICIAL INTELLIGENCE APPLICATIONS KAVUNCUOĞLU E. INCOHIS 2023 AUTUMN, 11 - 12 Kasım 2023, (Özet Bildiri)
Hyperspectral Imaging For Food Quality and Control KAVUNCUOĞLU H., DURSUN ÇAPAR T., KAVUNCUOĞLU E., YALÇIN H. 3rd III.International Congress on Vocational and Technical Sciences (UMTEB-III), 21 - 22 Haziran 2018, (Özet Bildiri)
Nanokompozit Bazlı Aktif Gıda Ambalaj Filmleri KAVUNCUOĞLU H., DURSUN ÇAPAR T., KAVUNCUOĞLU E., YALÇIN H. 3rd III.International Congress on Vocational and Technical Sciences (UMTEB-III), 21 - 22 Haziran 2018, (Özet Bildiri)
Aile Problemlerinin Çözümü İçin Bir Öneri: Aile Toplantıları AKGÜL H., KAVUNCUOĞLU E. ”, Innovation and Global Issues in Social Sciences III, Antalya, Türkiye, 26 - 29 Nisan 2018, ss.932-942, (Tam Metin Bildiri)
Prediction of Level of Loneliness in Elders Using Artificial Intelligence and Statistical Methods UZUNHİSARCIKLI E., AKGÜL H., KAVUNCUOĞLU E. IMSEC 2017, Adana, Türkiye, 25 Ekim 2017 - 27 Ocak 2018, ss.1942, (Özet Bildiri)
Yapay Sinir Ağları ve Çoklu Doğrusal Regresyon Metodları Kullanılarak Geliştirilen Sistemle Çocuklardaki Oyun Bağımlılığının Tahmin Edilmesi UZUNHİSARCIKLI E., KAVUNCUOĞLU E., AKGÜL H. IMSEC 2017, Adana, Türkiye, 25 - 27 Ekim 2017, ss.1941, (Özet Bildiri)
Fiber Traktografi ile Haritalandırılmış Yolakların, Beyin Tümörleri ile Etkileşiminin Üç Boyutlu İncelenmesi KAVUNCUOĞLU E., LATİFOĞLU F., ACER N. 23. SİNYAL İŞLEME VE İLETİŞİM UYGULAMALARI KURULTAYI (SIU 2015), Malatya, Türkiye, 16 - 19 Mayıs 2015, (Özet Bildiri)