◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Al-Saad

3 papers hereh-index 10398 citations46 works total

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.CL1
  • cs.CV1
  • eess.IV1
same name
  • M. Al-Saad — 2 papers

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
20232025
most citedAttention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification

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

collaborators

3 papers

cs.CL2025

Advanced Deep Learning Approaches for Automated Recognition of Cuneiform Symbols

Shahad Elshehaby, Alavikunhu Panthakkan, Hussain Al-Ahmad +1

This paper presents a thoroughly automated method for identifying and interpreting cuneiform characters via advanced deep-learning algorithms. Five distinct deep-learning models we…

cs.CV2024

SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification

Mohammed Q. Alkhatib, M. Sami Zitouni, Mina Al-Saad +2

Polarimetric synthetic aperture radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products. E…

eess.IV2023★ 1 cited

Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification

Mohammed Q. Alkhatib, Mina Al-Saad, Nour Aburaed +2

This research work presents a novel dual-branch model for hyperspectral image classification that combines two streams: one for processing standard hyperspectral patches using Real…

◍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.