Poisonous mushroom detection using YOLOV5

E Cengil, A Çınar - Turkish Journal of Science and Technology, 2021 - dergipark.org.tr
Mushroom is a nutritious food that is grown and consumed in many countries around the
world. It is preferred for consumption due to its easy acquisition, the benefit to human health …

Hybrid convolutional neural network based classification of bacterial, viral, and fungal diseases on tomato leaf images

E Cengil, A Çınar - Concurrency and Computation: Practice …, 2022 - Wiley Online Library
Tomatoes can get many diseases at every stage of the cultivation process depending on
environmental and climatic factors. Tomato growers sometimes struggle to monitor leaves in …

Comparison of deep learning models AlexNet and GoogLeNet in detection of pneumonia and COVID19

Y Özsoy, D Taşkin - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Due to the rapidly increasing population, workload is increasing in the field of health as well
as in many different fields. In the increasing workload, there are models and algorithms …

Real time detection and localization of colorectal polyps from colonoscopy images: A deep learning approach

M Al Amin, BK Paul, NI Bithi - 2022 IEEE International Women …, 2022 - ieeexplore.ieee.org
The growth of malignant colon polyps is a serious threat to both men's and women's lives,
and image analysis performed during a colonoscopy is the procedure that is utilized the …

Investigation of Cloud Computing Based Big Data on Machine Learning Algorithms.

M Yıldırım, A Çınar, E Cengil - Bitlis Eren Üniversitesi Fen Bilimleri …, 2021 - dergipark.org.tr
Cloud computing technology is a model that allows access to a common pool of
configurable computing resources whenever and wherever. With the developing technology …

Using Classification Algorithms in Data Mining in Diagnosing Breast Cancer

İD Argun, B Nalbant - Advances in Artificial Intelligence Research, 2022 - dergipark.org.tr
Data mining is the process of extracting useful information from large-scale data in an
understandable and logical way. According to the main machine learning techniques of data …

[PDF][PDF] Classification and diagnosis of mammary tumors in dogs using deep learning techniques

AH Isik, Ö Özmen, ÖC Eskicioğlu, N Isik - 2023 - papers.ssrn.com
Mammary tumors are common in pets and significantly affect animal health. In this context,
the analysis of mammary tumor cells in domestic animals is of great importance in diagnosis …

Sağlık alanında derin öğrenme yöntemlerinin incelenmesi

Y Özsoy - 2022 - dspace.trakya.edu.tr
Özet Günümüzde hızla artan nüfus ile birçok alanda olduğu gibi sağlık alanında da iş
yoğunluğu artmaktadır. Artan iş yoğunluğunun getirdiği yükü hafifletmek amacıyla sağlık …

Koroner Arter Hastalığı Sınıflandırılmasında Destek Vektör Makinelerinin Gri Kurt Optimizasyonuna Dayalı Özellik Seçim Yöntemi ile Geliştirilmesi

B Er, U Fidan - Eskişehir Türk Dünyası Uygulama ve Araştırma … - dergipark.org.tr
Machine learning methods are an effective tool used to detect coronary artery disease
and/or similar diseases and conditions by allowing the analysis of large data sets. In large …

İnşaat sektöründe risklerin yapay sinir ağı ile değerlendirilmesi

İ Duman - 2021 - acikerisim.gelisim.edu.tr
İş sağlığı ve güvenliğinde yapay sinir ağları ile inşaat sektöründe risklerin
değerlendirmesine yönelik olan bu çalışmada, iş sağlığı ve güvenliği sınırları içinde, iş …