Stock price prediction using deep learning algorithms based on technical indicators

M Konur, M Göçken, AT Dosdoğru - Journal of Operations …, 2024 - jopi-journal.org
Accurately forecasting stock prices helps investors decide when and where to invest.
However, the dynamic, non-linear, complex and chaotic nature of the stock market makes …

Comparison of deep learning models in carotid artery Intima-Media thickness ultrasound images: CAIMTUSNet

S Savaş, N Topaloğlu, Ö Kazcı… - Bilişim Teknolojileri Dergisi, 2022 - dergipark.org.tr
Deep learning is a machine learning technique that uses deep neural networks, which are
multilayer neural networks that contain two or more hidden layers. In recent years, deep …

Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması

M Türkoğlu, K Hanbay, IS Sivrikaya… - Bitlis Eren Üniversitesi …, 2020 - dergipark.org.tr
Bitki hastalıklarının hızlı ve doğru teşhisi için makine öğrenmesine dayalı yaklaşımlar
kullanılmaktadır. Son zamanlarda derin öğrenme yaklaşımı bitki türleri ve hastalıkları tanıma …

[PDF][PDF] Derin öğrenme tabanlı otomatik plaka tanıma

F Bayram - Politeknik Dergisi, 2020 - dergipark.org.tr
Günümüzde araç sayısındaki artış plaka tanıma sistemlerine olan ihtiyacı arttırmıştır.
Otomatik plaka tanıma sistemleri trafik denetim işlemleri, otoyol geçişleri, otopark giriş-çıkış …

Apricot disease identification based on attributes obtained from deep learning algorithms

M TÜRKOĞLU, D HANBAY - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
In recent years, deep learning widely used in image processing field, has introduced many
new applications related to the agricultural field. In this study, for apricot disease detection …

Detection of Turkish sign language using deep learning and image processing methods

B Aksoy, OKM Salman, Ö Ekrem - Applied Artificial Intelligence, 2021 - Taylor & Francis
Sign language is a physical language that enables people with disabilities to communicate
using hand and facial gestures. For this reason, it is very important for people with …

Deep neural networks based on transfer learning approaches to classification of gun and knife images

MT Ağdaş, M Türkoğlu… - Sakarya University journal …, 2021 - saucis.sakarya.edu.tr
Most of the criminal acts are performed using criminal tools. One of the most effective ways
of preventing crime is to observe and detect offensive weapons by security camera systems …

Use of artificial neural networks in architecture: determining the architectural style of a building with a convolutional neural networks

E Cantemir, O Kandemir - Neural Computing and Applications, 2024 - Springer
The discussion of" can machines think?" which started with the invention of the modern
computer, brought along the question of" can machines design?" by researchers in the …

Use of deep learning approaches in cancer diagnosis

M Hanefi Calp - Deep learning for cancer diagnosis, 2021 - Springer
Cancer is among serious health problems with an uncertain and complex structure that
causes fatal results. Cancer is a disease that consists of uncontrolled proliferation of cells in …

A multi-division convolutional neural network-based plant identification system

M Turkoglu, M Aslan, A Arı, ZM Alçin… - PeerJ Computer …, 2021 - peerj.com
Background Plants have an important place in the life of all living things. Today, there is a
risk of extinction for many plant species due to climate change and its environmental impact …