A parametric data-driven model built with p-AAA reduces relative force estimation error by nearly 38% versus the best non-parametric model while generalizing across load amplitudes and input waveforms.
Large -signal analysis of a silicon Read diode oscillator
3 Pith papers cite this work. Polarity classification is still indexing.
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DB-FGA-Net fuses VGG16 and Xception backbones with a new Frequency-Gated Attention module to reach 99.24% accuracy on 4-class brain tumor classification without augmentation and generalizes to 95.77% on an independent dataset.
SEMIDV simulator adds localization landscape theory for quantum corrections and a ballistic mobility model to drift-diffusion simulations, demonstrated on 6 nm GAA FETs with a proposed 4.5 nm design at 0.45 V.
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Load Identification in Bistable Spacecraft Booms via Parametric Data-Driven Modeling
A parametric data-driven model built with p-AAA reduces relative force estimation error by nearly 38% versus the best non-parametric model while generalizing across load amplitudes and input waveforms.
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DB-FGA-Net: Dual Backbone Frequency Gated Attention Network for Multi-Class Brain Tumor Classification with Grad-CAM Interpretability
DB-FGA-Net fuses VGG16 and Xception backbones with a new Frequency-Gated Attention module to reach 99.24% accuracy on 4-class brain tumor classification without augmentation and generalizes to 95.77% on an independent dataset.
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SEMIDV: A Compact Semiconductor Device Simulator with Quantum Effects
SEMIDV simulator adds localization landscape theory for quantum corrections and a ballistic mobility model to drift-diffusion simulations, demonstrated on 6 nm GAA FETs with a proposed 4.5 nm design at 0.45 V.