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researcher

M. F. Mridha

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1
ORCID 0000-0001-5738-1631
same name
  • M. F. Mridha — 14 papers
  • M. F. Mridha — 6 papers, h 13
  • M. F. Mridha — 3 papers, h 10
  • M. F. Mridha — 2 papers, h 25
  • M. F. Mridha — 2 papers, h 5
  • M. F. Mridha — 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

most citedA Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges

6 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023★ 6 cited

A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges

Osim Kumar Pal, Md Sakib Hossain Shovon, M. F. Mridha +1

In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles (UAVs) has brought about advancements in various areas. This comprehensive analysis ex…

cs.LG2023

BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis

Abdullah Al Imran, Md Sakib Hossain Shovon, M. F. Mridha

This study presents a large multi-modal Bangla YouTube clickbait dataset consisting of 253,070 data points collected through an automated process using the YouTube API and Python w…

cs.CV2023

Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)

Md Sakib Hossain Shovon, M. F. Mridha, Khan Md Hasib +3

Breast Cancer (BC) is among women's most lethal health concerns. Early diagnosis can alleviate the mortality rate by helping patients make efficient treatment decisions. Human Epid…

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