Author

A. Khan

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Open access Sep 2026

Computationally efficient hybrid multi-domain transform fusion for secure image steganography using rate–distortion optimization and Toom–Cook acceleration

The proposed approach provides a unified, theoretically constrained, and scalable solution for secure high-capacity image steganography, and outperforms existing spatial, transform-domain, and deep learning-based methods.

Abhrendu Bhattacharya, Raktima Dey, Amit R. Welekar et al. · Frontiers in Signal Processi... · 0 citations

Open access Jul 2026

AgriX-SENet: Squeeze-and-Excitation-based deep learning framework for explainable plant disease detection in sustainable agriculture

The proposed AgriX-SENet framework effectively combines high classification performance with model interpretability, addressing a key limitation of existing CNN-based plant disease detection systems and making it a promising solution for scalable agricultural diagnostics.

S. Raj, Prashant Johri, Vishwadeepak Singh Baghela et al. · Frontiers in Plant Science · 2 citations