Author

S. Turaev

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Open access Oct 2026

Matrix-free photoacoustic image reconstruction via sensor-token networks

A direct, matrix-free reconstruction network, the Sensor-Token Reconstruction Network (STRN), which represents each sensor's time series as a token in a Transformer encoder and maps raw measurements to the reconstructed image in a single forward pass, without invoking the system matrix at inference.

Mary Anjaley Josy John, Shibili Said, Imad Barhumi et al. · Frontiers in Applied Mathema... · 0 citations

#artificial intelligence Jun 2026

Measuring Curriculum Alignment across Topical Coverage, Competency, and Cognitive Depth: A Longitudinal Framework Applied to CS2013 and CS2023

The program articulates most competencies it covers yet meets the recommended cognitive depth far less often under CS2023 than under CS2013, a gap that survives a sensitivity analysis of the mapping, while structural gaps stay separable from artifacts of the standard's evolution.

S. Turaev, Mary John, Saja Al-Dabet et al. · arXiv.org · 0 citations

Jul 2026

Matrix-Free Photoacoustic Image Reconstruction via Sensor-Token Self-Attention

The Sensor Attention Network is proposed, a Transformer-based architecture that treats the full time series of each sensor as a token and maps raw measurements directly to the reconstructed image without invoking the system matrix at inference, supporting real-time PAT reconstruction.

Mary Anjaley Josy John, Shibili Said, Imad Barhumi et al. · arXiv.org · 0 citations