[HTML][HTML] An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network
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 …
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
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 …
being applied in the construction industry. Scientific research and deployment of this …
Quantitative level determination of fixed restorations on panoramic radiographs using deep learning
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 …
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
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 …
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 …
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 …
(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 …
people in various ways. In particular, to patients with paralysis, epilepsy, and Alzheimer's …
EEGNET for the Classification of Mild Cognitive Impairment
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 …
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 …
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 …
bilinir. Bu nedenle, mevcut herhangi bir bozukluk, konuşma üretim sisteminin işleyişini bozar …