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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Muhammad Shoaib Ayub

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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. · 0 citations
Open access Jul 2026

Design, development, and evaluation of ML-IoT enabled environment quality monitoring system

The development of a Machine Learning Internet of Things enabled AQMS equipped with diverse sensors capable of sensing vital environmental parameters which include carbon monoxide, carbon dioxide, particulate matter PM2.5, PM10, temperature, and humidity is presented.

Tanzila, Sundus Ali, M. Aslam et al. · 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. · 2 citations
Open access 2026

NTN-Aware Federated Learning Framework With Hierarchical Satellite Aggregation and LoRA-Based Parameter Efficiency

A unified NTN-aware FL framework that integrates low-rank adaptation (LoRA) with a three-tier hierarchical aggregation architecture that enables a hierarchical aggregation scheme that is otherwise infeasible under LEO visibility constraints is proposed.

Muhammad Shoaib Ayub, A. Khan, F. A. Pereira et al. · 0 citations

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