[HTML][HTML] An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network

S Siuly, SK Khare, E Kabir, MT Sadiq… - Computers in Biology and …, 2024 - Elsevier
Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting the quality
of life of over 10 million individuals worldwide. Early diagnosis is crucial for timely …

Material Used in 3-Dimensional Printing Technology in the Construction Industry

SM Top, İ Ayçam - Gazi University Journal of Science Part B: Art …, 2023 - dergipark.org.tr
3-dimensional (3D) printing technology, a core technology of Industry 4.0, is increasingly
being applied in the construction industry. Scientific research and deployment of this …

Quantitative level determination of fixed restorations on panoramic radiographs using deep learning

A Top, M Özdoğan, M Yeniad - International Journal of …, 2023 - avesis.aybu.edu.tr
Aim: Although many studies in various fields employ deep learning models, only a few such
studies exist in dental imaging. The present article aims to evaluate the effectiveness of …

Color classification of visually evoked potentials by means of Hermite functions

T Dózsa, C Böck, G Bognár, J Meier… - 2021 55th Asilomar …, 2021 - ieeexplore.ieee.org
It has been shown that characteristic attributes of visually evoked potentials (VEPs) depend
on the color and intensity of the stimulus. This may be helpful in different scenarios, for …

[HTML][HTML] The effect of domed and hip roof coverings on mosque design in case of fire

SM Top - Journal of engineering research, 2023 - Elsevier
The architectural design seeks solutions to many problems, one of which is designing
buildings that can quickly and safely evacuate people. Mosques, which are places of …

[PDF][PDF] Convolutional neural networks based OSA event prediction from ECG scalograms and spectrograms

H Nasifoglu, O Erogul - 2021 - assets-eu.researchsquare.com
In this study, we conducted a comparative analysis of deep convolutional neural network
(CNN) models in predicting Obstructive Sleep Apnea (OSA) using electrocardiograms …

A Review on Applications of Electroencephalogram: Includes Imagined Speech.

S Santhakumari… - International Journal of …, 2024 - search.ebscohost.com
In the last two decades, the Brain-Computer Interface system with EEG signals has assisted
people in various ways. In particular, to patients with paralysis, epilepsy, and Alzheimer's …

EEGNET for the Classification of Mild Cognitive Impairment

P Saroja, NJ Nalini, G Mahesh - Proceedings of Eighth International …, 2024 - Springer
Mild cognitive impairment (MCI) denotes a stage of cognitive decline that could indicate an
increased vulnerability to developing Alzheimer's disease or other forms of dementia. Timely …

Bal peteğindeki hücrelerin tespit edilmesi için derin öğrenme yaklaşımlarının kullanılması

M Farahmand - 2022 - acikerisim.selcuk.edu.tr
Özet Bal peteğinin doğru yöntemler kullanılarak hasat edilmesi arıcılık faaliyetleri
gerçekleştirenler ve ülkelerin ekonomisi için büyük önem arz etmektedir. Bal hasatında …

Patolojik seslerin tanisi için derin ögrenme tabanli tibbi karar destek sisteminin gelistirilmesi

İ Bigat - 2022 - gcris.etu.edu.tr
Patolojik duruma bağlı olarak normal konuşma akışının bozulması, ses bozukluğu olarak
bilinir. Bu nedenle, mevcut herhangi bir bozukluk, konuşma üretim sisteminin işleyişini bozar …