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researcher

M. M. Uddin

6 papers hereh-index 225 citations12 works total

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

author position
  • middle author2
  • last author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV2
  • eess.SY1
same name
  • M. M. Uddin — 27 papers, h 28
  • M. M. Uddin — 1 paper, h 1
  • M. M. Uddin — 1 paper
  • M. M. Uddin — 1 paper, h 2
  • M. M. Uddin — 1 paper
  • M. M. Uddin — 1 paper

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
20242026
most citedBalanced Truncation of Linear Systems with Quadratic Outputs in Limited Time and Frequency Intervals

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

eess.IV2024

Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement

Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid +4

This study presents an advanced approach to lumbar spine segmentation using deep learning techniques, focusing on addressing key challenges such as class imbalance and data preproc…

eess.IV2024

Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion

Kazi Shahriar Sanjid, Md. Tanzim Hossain, Md. Shakib Shahariar Junayed +1

Integrating components from convolutional neural networks and state space models in medical image segmentation presents a compelling approach to enhance accuracy and efficiency. We…

eess.SY2024★ 2 cited

Balanced Truncation of Linear Systems with Quadratic Outputs in Limited Time and Frequency Intervals

Qiu-Yan Song, Umair Zulfiqar, Zhi-Hua Xiao +2

Model order reduction involves constructing a reduced-order approximation of a high-order model while retaining its essential characteristics. This reduced-order model serves as a…

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