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Abu Bakar Siddik Nayem

3 papers hereh-index 341 citations5 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedA Novel Disaster Image Dataset and Characteristics Analysis using Attention Model

15 citations · 18 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2025

BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh

Mir Sazzat Hossain, Ovi Paul, Md Akil Raihan Iftee +7

Land Use Land Cover (LULC) mapping using deep learning significantly enhances the reliability of LULC classification, aiding in understanding geography, socioeconomic conditions, p…

cs.CV2021★ 15 cited

A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model

Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem +6

The advancement of deep learning technology has enabled us to develop systems that outperform any other classification technique. However, success of any empirical system depends o…

cs.CV2020★ 3 cited

LULC Segmentation of RGB Satellite Image Using FCN-8

Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul +3

This work presents use of Fully Convolutional Network (FCN-8) for semantic segmentation of high-resolution RGB earth surface satel-lite images into land use land cover (LULC) categ…

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