A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection

SH Khan, R Iqbal, S Naz - arXiv preprint arXiv:2311.10754, 2023 - arxiv.org
Monkeypox is a zoonotic infectious disease induced by the Monkeypox virus, part of the
poxviridae orthopoxvirus group initially discovered in Africa and gained global attention in …

AI-Based Approaches for the Diagnosis of Mpox: Challenges and Future Prospects

S Asif, M Zhao, Y Li, F Tang, S Ur Rehman Khan… - … Methods in Engineering, 2024 - Springer
Mpox, a zoonotic viral disease, poses a significant threat to human health, characterized by
its potential for human-to-human transmission and its manifestation in severe flu-like …

Enhancing heart attack prediction with machine learning: A study at jordan university hospital

M Alshraideh, N Alshraideh… - … Intelligence and Soft …, 2024 - Wiley Online Library
Efforts have been made to address the adverse impact of heart disease on society by
improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) …

Privacy-preserving blockchain-based federated learning for brain tumor segmentation

R Kumar, CM Bernard, A Ullah, RU Khan… - Computers in Biology …, 2024 - Elsevier
Improved data sharing between healthcare providers can lead to a higher probability of
accurate diagnosis, more effective treatments, and enhanced capabilities of healthcare …

[HTML][HTML] Optimal reconfiguration of distribution systems considering reliability: Introducing long-term memory component AEO algorithm

FJ Ruiz-Rodríguez, S Kamel, MH Hassan… - Expert Systems with …, 2024 - Elsevier
This article introduces a modified version of the Artificial Ecosystem Optimization (AEO)
algorithm, called Long-term Memory Component AEO (LMAEO), for optimizing the …

[HTML][HTML] Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images

S Yousefi, S Najjar-Ghabel, R Danehchin… - Journal of King Saud …, 2024 - Elsevier
Abstract Machine learning contributes in improving the accuracy of melanoma detection.
There are extensive studies in classic and deep learning-based approaches for melanoma …

ConvNextUNet: A small-region attentioned model for cardiac MRI segmentation

H Zhang, Z Cai - Computers in Biology and Medicine, 2024 - Elsevier
Cardiac MRI segmentation is a significant research area in medical image processing,
holding immense clinical and scientific importance in assisting the diagnosis and treatment …

[HTML][HTML] piscesCSM: prediction of anticancer synergistic drug combinations

R AlJarf, CHM Rodrigues, Y Myung… - Journal of …, 2024 - jcheminf.biomedcentral.com
While drug combination therapies are of great importance, particularly in cancer treatment,
identifying novel synergistic drug combinations has been a challenging venture …

Sound identification of abnormal pig vocalizations: Enhancing livestock welfare monitoring on smart farms

Y Xie, J Wang, C Chen, T Yin, S Yang, Z Li… - Information Processing …, 2024 - Elsevier
In smart agriculture, analyzing animal vocalizations provides a non-invasive, continuous
monitoring approach that directly correlates with specific animal conditions, enhancing …

Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function

HJ Ahn, K Ishikawa, MH Kim - Plos one, 2024 - journals.plos.org
In this study, we employed various machine learning models to predict metabolic
phenotypes, focusing on thyroid function, using a dataset from the National Health and …