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Md Abdullah Al Nasim

14 papers hereh-index 11418 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author1

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CV3
  • cs.LG3
  • eess.IV3
  • cs.CL1
same name
  • MD Abdullah Al Nasim — 10 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedGenerative Adversarial Networks for Data Augmentation

2 citations · 8 across the 14 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2024★ 1 cited

Power Plays: Unleashing Machine Learning Magic in Smart Grids

Abdur Rashid, Parag Biswas, abdullah al masum +2

The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks.…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.