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 …

Performance analysis of DGA-driven botnets using artificial neural networks

N Manikandan, D Ruby, S Murali… - 2022 10th International …, 2022 - ieeexplore.ieee.org
A botnet is a network of devices infected with malware and controlled remotely by a person
with malicious intent. Botnets can launch attacks to steal data, perform phishing, spamming …

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 …

Patient behaviour analysis and social health predictions through IoMT

P Ajmani, V Sharma, P Samuel… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
In the age of ubiquitous computing, people around the globe are benefiting from a more
contemporary and intelligent way of living with the help of IoMT (Internet of Medical Things) …

A deep neural network ensemble classifier with focal loss for automatic arrhythmia classification

H Wu, S Zhang, B Bao, J Li, Y Zhang… - Journal of Healthcare …, 2022 - Wiley Online Library
Automated electrocardiogram classification techniques play an important role in assisting
physicians in diagnosing arrhythmia. Among these, the automatic classification of single …

[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 …

Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN‐LSTM model

KP Arjun, KS Kumar, RK Dhanaraj… - Microscopy …, 2024 - Wiley Online Library
Skin cancer is a terrifying disorder that affects all individuals. Due to the significant increase
in the rate of melanoma skin cancer, early detection of skin cancer is now more critical than …