◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mst. Shapna Akter

11 papers hereh-index 11337 citations33 works total

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

author position
  • first author8

Across the 8 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CR5
  • cs.CV3
  • cs.LG3

identity via Semantic Scholar / OpenAlex

most citedMulti-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network

52 citations · 106 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023★ 52 cited

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network

Mst Shapna Akter, Hossain Shahriar, Sweta Sneha +1

Skin cancer detection is challenging since different types of skin lesions share high similarities. This paper proposes a computer-based deep learning approach that will accurately…

cs.CV2023★ 11 cited

Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words

Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea +2

A handwritten word recognition system comes with issues such as lack of large and diverse datasets. It is necessary to resolve such issues since millions of official documents can…

cs.CV2023★ 20 cited

Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data

Mst Shapna Akter, Hossain Shahriar, Nova Ahmed +1

Aggressive comments on social media negatively impact human life. Such offensive contents are responsible for depression and suicidal-related activities. Since online social networ…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.