Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Keywords: CNN, Alzheimer’s disease, deep learning, early detection, MRI. Citation: Dardouri S (2025) An efficient method for early Alzheimer’s disease detection based on MRI images using deep ...

Contribute to RFAI2025/Awesome-AIGC-Image-Detection development by creating an account on GitHub. Skip to content. ... Papers. 2025 [KDD '25] ... [CVPR '24] FakeInversion: Learning to Detect Images ...

ABSTRACT: Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such ...

Al-Qazzaz, N. and El-Sawi, M. (2022) Digital Image Forgery Detection Using Deep Learning Approaches: A Comprehensive Review. IEEE Access , 10, 46360-46395. [ 5 ] ...

Nowadays, digital images are a main source of shared information in social media. Meanwhile, malicious software can forge such images for fake information. So, it’s crucial to identify these forgeries ...

Over the past few years, the surge in computational power has prompted a heightened focus on deep learning (Lecun et al., 2015).Deep learning techniques are progressively finding broader applications ...