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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

P. Sahu

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Open access 2026

A Hybrid CNN–Transformer Model Integrating Raw ECG Signals and Handcrafted Features for Automated Sleep Apnea Detection

Sleep apnea is an underdiagnosed common sleep disorder with significant morbidity in the cardiovascular and neurological systems. The gold-standard diagnostic tool is polysomnography, which is costly and resource-intensive and is not available to many patients. There is a need for affordable, easy-to-use, readily avail...

P. Sahu · 1 citation
Open access Sep 2026

Automated Diabetic Retinopathy Severity Grading Using Hybrid Feature Optimization and Weighted Ensemble Learning

Diabetic Retinopathy (DR) is a leading cause of vision loss in individuals with diabetes. It is caused by damage to the retina’s blood vessels, which can result from chronic hyperglycemia. It is crucial to identify signs of DR early and accurately determine severity before treatment can be initiated, as vision loss c...

Tuhina Panda, P. Sahu, S. Choudhury · 0 citations
Open access Aug 2026

Privacy-aware artificial intelligence framework for early sepsis detection in sustainable healthcare systems

Deployment simulations in a 5G-enabled edge–cloud environment demonstrate millisecond-level inference latency and reduced communication overhead, confirming the feasibility of secure, real-time, and sustainable AI-driven sepsis prediction in critical care environments.

Jayalaxmi Dash, P. Sahu, Suneeta Satpathy · 0 citations
Jul 2026

SA-LDP-DW: a dual-protection framework for trustworthy privacy-preserving data publishing

The results demonstrate that SA-LDP-DW supports responsible data sharing, data governance, and privacy-aware data analytics, enabling privacy protection, ownership verification, and reliable analytical utility for real-world data-driven applications.

Omar Almomani, K. L. Raghavender Reddy, Vikram V. Patel et al. · 0 citations
Open access Jul 2026

Interpretable Deep Learning Defences via User Anomaly Detection in Cloud Platforms

This paper introduces an interpretable deep learning defence framework in the context of user anomaly detection for both IaaS and PaaS cloud service layers and SaaS application layer and shows that the detection accuracy and F1-score are much higher than those of the conventional rule-based and black-box deep learning...

Madhavi Kapre, P. Sahu, Raman Verma et al. · 0 citations
Aug 2026

MolGraphGAN: a graph transformer–adversarial framework for target-specific molecule generation

MolGraphGAN provides a generalizable and experimentally usable pipeline for accelerating target-centric drug discovery in a variety of therapeutics, demonstrating scalability across multiple therapeutic classes, and embeds explainable AI protocols through the presentation of attention maps highlighting substructure hav...

Abdelrahman H. Hussein, Vikram V. Patel, Sudeep Varshney et al. · 0 citations

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