Yayınlar & Eserler

Yayın Ağı
Makaleler 18
Tümü (18)
SCI-E, SSCI, AHCI (13)
SCI-E, SSCI, AHCI, ESCI (13)
Scopus (14)
TRDizin (4)

1. 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) identifier

2. 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) identifier

3. 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) identifier

4. 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) identifier

5. 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) identifier

6. 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) identifier

7. 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) identifier

8. 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) identifier identifier

9. 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) Sürdürülebilir Kalkınma identifier identifier

10. 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) identifier

11. 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) identifier identifier

12. 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) Sürdürülebilir Kalkınma identifier identifier identifier

13. 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) identifier

14. 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) Sürdürülebilir Kalkınma

15. 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)

16. 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) identifier identifier identifier

17. 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) identifier

18. 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) Creative Commons License Sürdürülebilir Kalkınma identifier identifier identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 8

1. 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) identifier

2. PYSPARK: A TOOL FOR SCALABLE DATA ANALYTICS IN ARTIFICIAL INTELLIGENCE APPLICATIONS

KAVUNCUOĞLU E.
INCOHIS 2023 AUTUMN, 11 - 12 Kasım 2023, (Özet Bildiri)

3. APPLICABILITY OF KERAS FUNCTIONAL API IN ARTIFICIAL INTELLIGENCE RESEARCH

KAVUNCUOĞLU E.
INTERNATIONAL TOPKAPI CONGRESS II, 20 - 21 Ekim 2023, (Özet Bildiri)

4. 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)

5. DEEP LEARNING APPROACH IN RECOGNITION OF WEARABLE SENSOR BASED HUMAN ACTIVITY

KAVUNCUOĞLU E., UZUNHİSARCIKLI E., ÖZDEMİR A. T.
5TH INTERNATIONAL GAP MATHEMATICS - ENGINEERING SCIENCE AND HEALTH SCIENCES CONGRESS, Şanlıurfa, Türkiye, 04 Aralık 2020, ss.17-18

6. SAĞLIK ALANINDA, SENSÖR TABANLI İNSAN ETKİNLİĞİ TANIMASİSTEMLERİNİN İNCELENMESİ ÜZERİNE BİR ARAŞTIRMA

Kavuncuoğlu E., Uzunhisarcıklı E., Özdemir A. T.
IX. UMTEB INTERNATIONAL CONGRESS ON VOCATIONAL TECHNICAL SCIENCES, Gaziantep, Türkiye, 7 - 08 Şubat 2020, (Özet Bildiri) Sürdürülebilir Kalkınma

7. 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)

8. 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)
Kitaplar 2

1. 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

2. 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
Metrikler

Yayın

32

Yayın (WoS)

13

Yayın (Scopus)

15

H-İndeks (WoS)

6

Atıf (Scopus)

65

H-İndeks (Scopus)

4

H-İndeks (Scholar)

7

Atıf (Diğer Toplam)

1

Proje

3

Açık Erişim

1
BM Sürdürülebilir Kalkınma Amaçları