Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match

S Das, T Mahmud, D Islam, M Begum… - Computational …, 2023 - Wiley Online Library
Automation in every part of life has become a frequent situation because of the rapid
advancement of technology, mostly driven by AI technology, and has helped facilitate …

Privacy preserved cervical cancer detection using convolutional neural networks applied to pap smear images

S Alsubai, A Alqahtani, M Sha… - … Methods in Medicine, 2023 - Wiley Online Library
Image processing has enabled faster and more accurate image classification. It has been of
great benefit to the health industry. Manually examining medical images like MRI and X‐rays …

A novel SVMA and K-NN classifier based optical ML technique for seizure detection

N Deepa, R Naresh, S Anitha, R Suguna… - Optical and Quantum …, 2023 - Springer
Among the most common paroxysmal neurological conditions is epilepsy. When
spontaneous combustion occurs seizure is a defining feature. An epileptic seizure is caused …

[HTML][HTML] A federated learning model based on hardware acceleration for the early detection of alzheimer's disease

K Khalil, MMR Khan Mamun, A Sherif, MS Elsersy… - Sensors, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive illness with a slow start that lasts many years; the
disease's consequences are devastating to the patient and the patient's family. If detected …

[HTML][HTML] Development of Chest X-ray Image Evaluation Software Using the Deep Learning Techniques

K Usui, T Yoshimura, S Ichikawa, H Sugimori - Applied Sciences, 2023 - mdpi.com
Although the widespread use of digital imaging has enabled real-time image display,
images in chest X-ray examinations can be confirmed by the radiologist's eyes. Considering …

Alzheimer's Disease Diagnosis using Deep Learning Approach

S Suganyadevi, AS Rajasekaran… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a long-term neurodegenerative condition that kills brain cells,
leading to dementia and irreversible decline in cognitive abilities. There is no cure for it, and …

Modeling PolSAR classification using convolutional neural network with homogeneity based kernel selection

H Parikh, S Patel, V Patel - Modeling Earth Systems and Environment, 2023 - Springer
Abstract Synthetic Aperture Radar (SAR) data interpretation is a well-covered study in
remote sensing for various applications. The scattering information obtained by SAR data …

A Heuristic Machine Learning‐Based Optimization Technique to Predict Lung Cancer Patient Survival

S Kukreja, M Sabharwal, MA Shah… - Computational …, 2023 - Wiley Online Library
Cancer has been a significant threat to human health and well‐being, posing the biggest
obstacle in the history of human sickness. The high death rate in cancer patients is primarily …

FPGA based CNN accelerator for high-speed biomedical application

H Nehete, G Verma, A Gupta… - High-Speed …, 2023 - spiedigitallibrary.org
The rise in visual dataset generation has necessitated the recent advancements in the field
of Deep Neural Networks (DNNs). Application domains like biomedical imaging require a …

Diabetic Retinopathy Detection Using Convolutional Neural Network

Y Wankhede, P Shinde, S Naik, R Raut… - 2023 7th International …, 2023 - ieeexplore.ieee.org
In persons with diabetes, diabetic retinopathy (DR), a serious eye condition, can cause
blindness. Improved patient outcomes and the prevention of vision loss are possible with …