[HTML][HTML] MEFF–A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging
L Alzubaidi, ALD Khamael, HAH Obeed… - Intelligent Systems With …, 2024 - Elsevier
Adversarial attacks pose a significant threat to deep learning models, specifically medical
images, as they can mislead models into making inaccurate predictions by introducing …
images, as they can mislead models into making inaccurate predictions by introducing …
UNFOLD: 3D U-Net, 3D CNN and 3D Transformer based Hyperspectral Image Denoising
Hyperspectral images (HSIs) encompass data across numerous spectral bands, making
them valuable in various practical fields such as remote sensing, agriculture, and marine …
them valuable in various practical fields such as remote sensing, agriculture, and marine …
Architecture and Applications of IoT Devices in Socially Relevant Fields
SA Lakshman, S Akash, J Cynthia, R Gautam… - SN Computer …, 2024 - Springer
A multitude of IoT-enabled devices are continually being explored and introduced annually,
fostering robust competition among researchers and businesses seeking to leverage the IoT …
fostering robust competition among researchers and businesses seeking to leverage the IoT …
RDMAA: Robust Defense Model against Adversarial Attacks in Deep Learning for Cancer Diagnosis
AA Abd El-Aziz, RA El-Khoribi… - International Journal of …, 2024 - journal.uob.edu.bh
Attacks against deep learning (DL) models are considered a significant security threat.
However, DL especially deep convolutional neural networks (CNN) has shown …
However, DL especially deep convolutional neural networks (CNN) has shown …