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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

K. A. Shahriar

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Open access Aug 2026

A physics-constrained Bayesian framework for QSM with uncertainty quantification and variational susceptibility source separation

Objective. Quantitative susceptibility mapping (QSM) requires inversion of a convolutional dipole operator whose null-space renders susceptibility reconstruction severely ill-posed, making the estimated susceptibility highly sensitive to measurement noise and modeling errors. Existing deep learning methods primarily pr...

K. A. Shahriar, Maruf Ahmed · 0 citations
Open access Sep 2026

Interpretable Physics-Guided Region-Aware Attention Learning for Series and Shunt Resistance Estimation from Photovoltaic I-V Characteristics

Photovoltaic (PV) parameter estimation is essential for understanding device performance, degradation mechanisms, and energy conversion behavior. However, accurate extraction of parameters such as series resistance (R s ) and shunt resistance (R sh ) from current-voltage (I-V) characteristics remains challenging due...

K. A. Shahriar, Md Mahmud Akon, Md. Mostafizur Rahman · 0 citations

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