The book's core argument is that an artificial intelligence that could equal or exceed human
intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical …

We introduce a new machine learning approach to retrieve cloud optical thickness (COT)
fields from visible passive imagery. In contrast to the heritage independent pixel …

New mathematical results are given for the radiative transfer equations alone and coupled
with the temperature equation of a fluid: existence, uniqueness, a maximum principle, and a …

Scattering-based computed tomography (CT) recovers a heterogeneous volumetric
scattering medium using images taken from multiple directions. It is a nonlinear problem …

We introduce a comprehensive method for space-borne 3-D volumetric scattering-
tomography of cloud microphysics, developed for the CloudCT mission. The retrieved …

Data are presented from intercomparisons between two research aircraft, the FAAM BAe-
146 and the NASA Lockheed P3, and between the BAe-146 and the surface-based DOE …

The scalar radiative transfer equation in the presence of thermal radiation source is solved
in detail, using the adding-doubling method; Planck functions within any given layer are …

In this paper, we build wellposed intrusive generalised Polynomial Chaos (gPC) based
reduced models for uncertain photonics. We solve the reduced models with a Monte-Carlo …

We present a method for calculating multiple scattering of electromagnetic radiation by a
collection of sparsely spaced spherical scatterers (SSSS) of Mie-scattering size based on …

Methods based on statistical learning have become prevalent in various signal processing
disciplines and have recently gained traction in atmospheric lidar studies. Nonetheless …