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Hasan Ulutaş
Hasan Ulutaş
Yozgat Bozok Üniversitesi
Email verificata su yobu.edu.tr
Titolo
Citata da
Citata da
Anno
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images
ME Sahin, H Ulutas, E Yuce, MF Erkoc
Neural Computing and Applications 35 (18), 13597-13611, 2023
492023
Design of Efficient Methods for the Detection of Tomato Leaf Disease Utilizing Proposed Ensemble CNN Model
H Ulutaş, V Aslantaş
Electronics 12 (4), 827, 2023
422023
Highly sensitive metamaterial-based microwave sensor for the application of milk and dairy products
YI Abdulkarim, M Bakır, İ Yaşar, H Ulutaş, M Karaaslan, F Özkan Alkurt, ...
Applied Optics 61 (8), 1972-1981, 2022
202022
Automated sleep scoring system using multi-channel data and machine learning
RS Arslan, H Ulutaş, AS Köksal, M Bakır, B Çiftçi
Computers in Biology and Medicine 146, 105653, 2022
162022
Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems
H Ulutas, ME Sahin, MO Karakus
Alexandria Engineering Journal 74, 345-358, 2023
152023
Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding
AS Demirkol, ME Sahin, B Karakaya, H Ulutas, A Ascoli, R Tetzlaff
Chaos, Solitons & Fractals 183, 114923, 2024
112024
A deep learning approach for detecting pneumonia in chest X-rays
ME ŞAHİN, H ULUTAŞ, Y Esra
Avrupa Bilim ve Teknoloji Dergisi, 562-567, 2021
102021
Sensitive deep learning application on sleep stage scoring by using all PSG data
RS Arslan, H Ulutas, AS Köksal, M Bakir, B Çiftçi
Neural Computing and Applications 35, 7495-7508, 2022
82022
End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning
RS Arslan, H Ulutas, AS Köksal, M Bakir, B Çiftçi
Biocybernetics and Biomedical Engineering 43 (4), 684-699, 2023
72023
Tree-Based Machine Learning Techniques for Automated Human Sleep Stage Classification.
RS Arslan, H Ulutas, AS Köksal, M Bakır, B Çiftçi
Traitement du Signal 40 (4), 2023
62023
Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture
FN Ortatas, U Ozkaya, ME Sahin, H Ulutas
Neural Computing and Applications 36 (9), 4603-4622, 2024
42024
Autonomous Mapping and Spraying in Precision Agriculture using Unmanned Ground Vehicles
FN OrtataŞ, H UlutaŞ, ME Şahİn, F Çİftcİ
2023 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-5, 2023
42023
Classification of cucumber leaf diseases on images using innovative ensembles of deep neural networks
H Ulutas, M Emin Sahin
Journal of Electronic Imaging 32 (5), 053040-053040, 2023
42023
A Fast and Accurate Method for Classifying Tomato Plant Health Status Using Machine Learning and Image Processing
H Ulutas, V Aslantas
Elektronika ir Elektrotechnika 29 (2), 54-68, 2023
32023
Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications
C ALTIN, H Ulutaş, E Orhan, ER Orhan, V Akdoğan
Celal Bayar University Journal of Science 17 (3), 253-260, 2021
32021
Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization
H Ulutas, RB Günay, ME Sahin
Neural Computing and Applications 36 (29), 18313-18341, 2024
22024
Visible Image Watermarking Based on Image Fusion with Shearlet Transform Using Genetic Algorithm
H Akbulut, V ASLANTAS, H Ulutaş
Electronic Letters on Science and Engineering 13 (3), 1-9, 2017
22017
Automated Segmentation of Dental Structures in Panoramic Radiographs Using U-Net 3+
ME Şahin, H Ulutaş, EE Süzgen
2024 8th International Artificial Intelligence and Data Processing Symposium …, 2024
12024
A Deep Learning-based U-Net 3+ Technique for Segmentation Blood Cell
H Ulutaş
Turkish Journal of Science and Technology 19 (2), 485-495, 2024
12024
Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods
MF Erkoc, H Ulutas, ME Sahin
International Journal of Imaging Systems and Technology 34 (5), e23174, 2024
12024
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