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researcher

Md. Ershadul Haque

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

most citedAnalysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

quant-ph2025

PALQA: A Novel Parameterized Position-Aware Lossy Quantum Autoencoder using LSB Control Qubit for Efficient Image Compression

Ershadul Haque, Manoranjan Paul, Faranak Tohidi +2

With the growing interest in quantum computing, quantum image processing technology has become a vital research field due to its versatile applications and ability to outperform cl…

cs.CV2022★ 1 cited

Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach

Md Ershadul Haque, Salah Uddin, Md Ariful Islam +3

The combination of big data and deep learning is a world-shattering technology that can greatly impact any objective if used properly. With the availability of a large volume of he…

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