most citedA Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases

16 citations · 16 across the 1 of their papers we have counts for

collaborators

4 papers

eess.IV2025

An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases

Sajjad Saleem, Muhammad Imran Sharif

The lungs are the essential organs of respiration, and this system is significant in the carbon dioxide and exchange between oxygen that occurs in human life. However, several lung…

cs.CV2025

Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation

Muhammad Ahtsam Naeem, Muhammad Asim Saleem, Muhammad Imran Sharif +4

The potato is a widely grown crop in many regions of the world. In recent decades, potato farming has gained incredible traction in the world. Potatoes are susceptible to several i…

cs.CV202516 cited

A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases

Sajjad Saleem, Adil Hussain, Nabila Majeed +2

Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseas…

cs.LG2025

Deep Learning in Early Alzheimer's disease's Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods

Rubab Hafeez, Sadia Waheed, Syeda Aleena Naqvi +6

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia.…