Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication
Journal Article
The Covid-19 pandemic has highlighted an era in hearing health care that necessitates a comprehensive rethinking of audiology service delivery. There has been a significant in...
Application of machine learning in predicting frailty syndrome in patients with heart failure
Journal Article
Szczepanowski, R., Uchmanowicz, I., Pasieczna-Dixit, A. H., Sobecki, J., Katarzyniak, R., Kołaczek, G., …Kahsin, A. (2024)
Application of machine learning in predicting frailty syndrome in patients with heart failure. Advances in Clinical and Experimental Medicine, 33(3), 309-315. https://doi.org/10.17219/acem/184040
Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment ...
Opto-electrochemical variation with gel polymer electrolytes in transparent electrochemical capacitors for ionotronics
Journal Article
Kumar, C., Sebastian, A. K., Markapudi, P. R., Beg, M., Sundaram, S., Hussain, A., & Manjakkal, L. (2024)
Opto-electrochemical variation with gel polymer electrolytes in transparent electrochemical capacitors for ionotronics. Applied Physics Letters, 124(11), Article 111603. https://doi.org/10.1063/5.0190801
Advanced flexible ionotronic devices have found excellent applications in the next generation of electronic skin (e-skin) development for smart wearables, robotics, and prosth...
BBox-Free SAR Ship Instance Segmentation Method Based on Gaussian Heatmap
Journal Article
Gao, F., Zhong, F., Sun, J., Hussain, A., & Zhou, H. (2024)
BBox-Free SAR Ship Instance Segmentation Method Based on Gaussian Heatmap. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 5206218. https://doi.org/10.1109/tgrs.2024.3369614
Recently, deep learning methods have been widely adopted for ship detection in synthetic aperture radar (SAR) images. However, many of the existing methods miss adjacent ship ...
Robust Real-time Audio-Visual Speech Enhancement based on DNN and GAN
Journal Article
The human auditory cortex contextually integrates audio-visual (AV) cues to better understand speech in a cocktail party situation. Recent studies have shown that AV speech en...
STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation
Journal Article
Fang, M., Yu, L., Xie, H., Tan, Q., Tan, Z., Hussain, A., …Tian, Z. (in press)
STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation. IEEE Transactions on Computational Social Systems, https://doi.org/10.1109/tcss.2024.3356549
The impressive development of facial manipulation techniques has raised severe public concerns. Identity-aware methods, especially suitable for protecting celebrities, are see...
Novel Category Discovery without Forgetting for Automatic Target Recognition
Journal Article
Huang, H., Gao, F., Sun, J., Wang, J., Hussain, A., & Zhou, H. (2024)
Novel Category Discovery without Forgetting for Automatic Target Recognition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 4408-4420. https://doi.org/10.1109/jstars.2024.3358449
We explore a cutting-edge concept known as C lass Incremental Learning in N ovel Category Discovery for Synthetic Aperture Radar T argets (CNT). This innovative task involves ...
Deep learning methods for early detection of Alzheimer’s disease using structural MR images: A survey
Journal Article
Hassen, S. B., Neji, M., Hussain, Z., Hussain, A., Alimi, A. M., & Frikha, M. (2024)
Deep learning methods for early detection of Alzheimer’s disease using structural MR images: A survey. Neurocomputing, 576, Article 127325. https://doi.org/10.1016/j.neucom.2024.127325
In this paper, we present an extensive review of the most recent works for Alzheimer’s disease (AD) prediction, particularly Moderate Cognitive Impairment (MCI) conversion pre...
SAR Target Incremental Recognition Based on Features With Strong Separability
Journal Article
Gao, F., Kong, L., Lang, R., Sun, J., Wang, J., Hussain, A., & Zhou, H. (2024)
SAR Target Incremental Recognition Based on Features With Strong Separability. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. https://doi.org/10.1109/tgrs.2024.3351636
With the rapid development of deep learning technology, many synthetic aperture radar (SAR) target recognition algorithms based on convolutional neural networks have achieved ...
A novel end-to-end deep convolutional neural network based skin lesion classification framework
Journal Article
A., R. S., Chamola, V., Hussain, A., Hussain, Z., & Albalwy, F. (2024)
A novel end-to-end deep convolutional neural network based skin lesion classification framework. Expert Systems with Applications, 246, Article 123056. https://doi.org/10.1016/j.eswa.2023.123056
Background:
Skin diseases are reported to contribute 1.79% of the global burden of disease. The accurate diagnosis of specific skin diseases is known to be a challenging task ...