Makaleler
72
Tümü (72)
SCI-E, SSCI, AHCI (62)
SCI-E, SSCI, AHCI, ESCI (66)
ESCI (4)
Scopus (65)
TRDizin (9)
Diğer Yayınlar (2)
5. Explainable Artificial Intelligence Framework for Robust Coffee Leaf Nutrient Deficiency Classification Under Simulated Field-Like Conditions
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
, cilt.1, sa.1, ss.1-45, 2026 (SCI-Expanded, Scopus)
17. Organ Segmentation in CT Images Using nnU-Net and 3D Model Generation With Marching Cubes
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
, cilt.36, sa.4, 2026 (SCI-Expanded, Scopus)
21. Constrained Multi-Objective Bayesian Optimization for Unmanned Ground Vehicle-Oriented Detection Models
El-Cezeri Journal of Science and Engineering
, sa.Advanced Online Publication, ss.271-283, 2026 (ESCI, Scopus, TRDizin)
35. Explainable deep learning ensemble framework for accurate classification of wild poisonous mushroom species
BMC BIOTECHNOLOGY
, cilt.26, sa.11, ss.1-28, 2026 (SCI-Expanded, Scopus)
37. Comparison of gamma knife and linac-based radiosurgical techniques for malignant brain tumors: evaluation of dosimetric parameters and treatment efficacy
TURKISH NEUROSURGERY
, cilt.1, sa.1, ss.10-20, 2026 (SCI-Expanded, Scopus, TRDizin)
41. Advanced deep learning approaches for the automated classification of macrofungal species in biodiversity monitoring
TRAKYA UNIVERSITY JOURNAL OF NATURAL SCIENCES
, cilt.26, sa.2, ss.203-212, 2025 (ESCI, Scopus, TRDizin)
43. Advanced deep learning approaches for the accurate classification of Phallaceae fungi with explainable AI
TURKISH JOURNAL OF BOTANY
, cilt.49, ss.1-18, 2025 (SCI-Expanded, Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler
19
5. DEPLOYABLE DEEP LEARNING MODELS FOR MUSHROOM SPECIES CLASSIFICATION: A COMPARATIVE STUDY WITH EXPLAINABLE AI
11. INTERNATIONAL BILTEK CONGRESS ON CURRENT DEVELOPMENTS IN SCIENCE, TECHNOLOGY AND SOCIAL SCIENCES CONGRESS, Ankara, Türkiye, 25 - 26 Mayıs 2025, cilt.1, ss.300-3008, (Tam Metin Bildiri)
9. OPTIMAL APPROACH TO THE EMPLOYMENT OF OFFICE PERSONNEL IN THE PUBLIC SECTOR: A STUDY ON MANAGEMENT INFORMATION SYSTEMS AND LABOR PEACE
7. International Antalya Scientific Research and Innovative Studies Congress, Antalya, Türkiye, 11 - 14 Mayıs 2024, ss.1-8, (Tam Metin Bildiri)
Kitaplar
9
