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20232025
most citedPresent and Future of AI in Renewable Energy Domain : A Comprehensive Survey

6 citations · 11 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.IV2023

Invariant Scattering Transform for Medical Imaging

Nafisa Labiba Ishrat Huda, Angona Biswas, MD Abdullah Al Nasim +2

Invariant scattering transform introduces new area of research that merges the signal processing with deep learning for computer vision. Nowadays, Deep Learning algorithms are able…

cs.AI2023

AutoML Systems For Medical Imaging

Tasmia Tahmida Jidney, Angona Biswas, MD Abdullah Al Nasim +5

The integration of machine learning in medical image analysis can greatly enhance the quality of healthcare provided by physicians. The combination of human expertise and computeri…

cs.AI2023★ 1 cited

Case Studies on X-Ray Imaging, MRI and Nuclear Imaging

Shuvra Sarker, Angona Biswas, MD Abdullah Al Nasim +3

The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body.…

cs.AI2023★ 2 cited

Generative Adversarial Networks for Data Augmentation

Angona Biswas, MD Abdullah Al Nasim, Al Imran +4

One way to expand the available dataset for training AI models in the medical field is through the use of Generative Adversarial Networks (GANs) for data augmentation. GANs work by…

eess.IV2023★ 1 cited

Active Learning on Medical Image

Angona Biswas, MD Abdullah Al Nasim, Md Shahin Ali +3

The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can sig…