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 …
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 …
multilayer neural networks that contain two or more hidden layers. In recent years, deep …
Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması
Bitki hastalıklarının hızlı ve doğru teşhisi için makine öğrenmesine dayalı yaklaşımlar
kullanılmaktadır. Son zamanlarda derin öğrenme yaklaşımı bitki türleri ve hastalıkları tanıma …
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 …
Otomatik plaka tanıma sistemleri trafik denetim işlemleri, otoyol geçişleri, otopark giriş-çıkış …
Apricot disease identification based on attributes obtained from deep learning algorithms
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
risk of extinction for many plant species due to climate change and its environmental impact …