A Hybrid Huffman-CNN-AES Deep Learning Framework for Secure Medical Image Steganography: H-CADStego

Authors: RAMAPRIYA B, Y. Kalpana
Publication: International Journal of Internet Manufacturing and Services
Published: Jan 1, 2028
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Left Ventricle Extraction Using a DENSENET-U-Net Integrated Deep Learning Approach

X. Ignatious Viola, R. Shoba Rani et al. - Jan 2028

Read More
Botnet Detection in Network Security by means of Deep Neural Network - DBoTPM

Sankarsan Panda, Julia Faith S et al. - Jan 2028

Read More
Presentation of a model for evaluating the performance of universities and higher education institutions based on a hybrid pattern (case study: Herat, Afghanistan)

Sayed Mohammad Hussaini, Sayed Haidar Mirfakhradini - Jan 2028

Read More
Real-Time Detection of Multilingual Audio Distress Signals Using Compact CNN and MFCC Features in Noisy Environments

Shruthi G, Jinka Madhurilatha et al. - Jan 2028

Read More
Estimation and Model Selection Procedures in Generalized Functional Partially Additive Hybrid Model with Diverging Number of Covariates

Yanxia Liu, Zhihao Wang et al. - Jan 2028

Read More