In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

Tunable diode laser absorption spectroscopy tomography (TDLAST) has been widely
applied for imaging two-dimensional distributions of industrial flow-field parameters, eg …

Tunable diode laser absorption spectroscopy (TDLAS) tomography is a well-established
combustion diagnostic technique for imaging 2-D cross-sectional distributions of critical flow …

A deep learning method for laser absorption tomography was developed to effectively
integrate physical priors related to flow-field thermochemistry and transport. Mid-fidelity …

Light field tomography, an optical combustion diagnostic technology, has recently attracted
extensive attention due to its easy implementation and non-intrusion. However, the …

Tunable diode laser absorption spectroscopy (TDLAS) tomography is widely used for gas
temperature and concentration imaging. Laser beam optimization is an efficient way to …

In recent years, NNs, as the basic components in AI models and cryptographic schemes,
have come together in war and peace; a cross-impact forms a dichotomy deserving a …

可调谐二极管激光吸收光谱层析成像(TDLAT) 是一种重要的光学非侵入式燃烧诊断技术,
可实现燃烧场2 维横截面气体温度和浓度等流场参数分布的重建. 该文将视觉Transformer (ViT) …

Laser absorption spectroscopy (LAS) tomography is an effective method for cross-sectional
imaging of temperature and gas concentration distributions in combustion diagnosis. In this …

This book studies the intersection between cryptography and AI, highlighting the significant
cross-impact and potential between the two technologies. The authors first study the …