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M. J. Asif

5 papers hereh-index 468 citations12 works total

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

author position
  • sole author1
  • first author3
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
  • cs.NI1

identity via Semantic Scholar / OpenAlex

most citedExploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach

4 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification

Muhammad Junaid Asif, Muhammad Saad Rafaqat, Usman Nazakat +2

To ensure energy efficiency and reliable operations, it is essential to monitor solar panels in generation plants to detect defects. It is quite labor-intensive, time consuming and…

cs.CV2025

Crowd Scene Analysis using Deep Learning Techniques

Muhammad Junaid Asif

Our research is focused on two main applications of crowd scene analysis crowd counting and anomaly detection In recent years a large number of researches have been presented in th…

cs.CV2025★ 4 cited

Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach

Muhammad Junaid Asif, Hamza Khan, Rabia Tehseen +4

Rice is an essential staple food worldwide that is important in promoting international trade, economic growth, and nutrition. Asian countries such as China, India, Pakistan, Thail…

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