[HTML][HTML] Stroke lesion segmentation and deep learning: a comprehensive review

M Malik, B Chong, J Fernandez, V Shim, NK Kasabov… - Bioengineering, 2024 - mdpi.com
Stroke is a medical condition that affects around 15 million people annually. Patients and
their families can face severe financial and emotional challenges as it can cause motor …

[PDF][PDF] Cyberbullying-related hate speech detection using shallow-to-deep learning

D Sultan, A Toktarova, A Zhumadillayeva… - … Materials & Continua, 2023 - cdn.techscience.cn
Communication in society had developed within cultural and geographical boundaries prior
to the invention of digital technology. The latest advancements in communication technology …

Hate speech detection in social networks using machine learning and deep learning methods

A Toktarova, D Syrlybay… - International …, 2023 - search.proquest.com
Hate speech on social media platforms like Twitter is a growing concern that poses
challenges to maintaining a healthy online environment and fostering constructive …

[PDF][PDF] Deep learning-enabled brain stroke classification on computed tomography images

A Tursynova, B Omarov, N Tukenova… - Comput. Mater …, 2023 - cdn.techscience.cn
In the field of stroke imaging, deep learning (DL) has enormous untapped potential. When
clinically significant symptoms of a cerebral stroke are detected, it is crucial to make an …

Convolutional LSTM Network for Heart Disease Diagnosis on Electrocardiograms.

B Omarov, M Baikuvekov… - Computers …, 2023 - search.ebscohost.com
Heart disease is a leading cause of mortality worldwide. Electrocardiograms (ECG) play a
crucial role in diagnosing heart disease. However, interpreting ECGsignals necessitates …

2-d deep convolutional neural network for predicting the intensity of seismic events

A Turarbek, Y Adetbekov… - International Journal of …, 2023 - search.proquest.com
Abstract Machine learning has advanced rapidly in the last decade, promising to
significantly change and improve the function of big data analysis in a variety of fields. When …

Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data

CSP Raju, BC Neelapu, RH Laskar… - Multimedia Tools and …, 2024 - Springer
Stroke poses a significant risk to human life. Segmenting and immediately treating the stroke
core stops its further development, therefore, enhancing the likelihood of survival …

[PDF][PDF] Automated Pneumonia Diagnosis using a 2D Deep Convolutional Neural Network with Chest X-Ray Images

K Kassylkassova, B Omarov, G Kazbekova… - … Journal of Advanced …, 2023 - researchgate.net
Tiny air sacs in one or both lungs become inflamed as a result of the lung infection known as
pneumonia. In order to provide the best possible treatment plan, pneumonia must be …

A deep learning-based approach for road surface damage detection

B Kulambayev, G Beissenova, N Katayev… - 2022 - rep.enu.kz
Timely detection and elimination of damage in areas with excessive vehicle loading can
reduce the risk of road accidents. Currently, various methods of photo and video …

[PDF][PDF] Automatic Classification of Scanned Electronic University Documents using Deep Neural Networks with Conv2D Layers

A Baimakhanova, A Zhumadillayeva… - International Journal of …, 2023 - academia.edu
This paper proposes a novel approach for scanned document categorization using a deep
neural network architecture. The proposed approach leverages the strengths of both …