Enhanced image‐splicing classification: A resilient and scale‐invariant approach utilizing edge‐weighted local texture features
Arslan Akram(Neighborhood House), Muhammad Faheem(Quaid-i-Azam University), Javed Rashid(International Islamic University, Islamabad), M. Arfan Jaffar(Superior University), Salah Boulaaras(Qassim University)
Cited by 0
Related Papers
Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation
|IEEE Access|2022|128
A Hybrid Convolutional Neural Network Model for Automatic Diabetic Retinopathy Classification From Fundus Images
|IEEE Journal of Translational Engineering in Health and Medicine|2023|127
Dual-3DM<sup>3</sup>AD: Mixed Transformer Based Semantic Segmentation and Triplet Pre-Processing for Early Multi-Class Alzheimer’s Diagnosis
|IEEE Transactions on Neural Systems and Rehabilitation Engineering|2024|118