Learning incorporates a broad range of complex procedures. Machine learning (ML) is a
subdivision of artificial intelligence based on the biological learning process. The ML approach …

With the increasing awareness of the health impacts of particulate matter, there is a growing
need to comprehend the spatial and temporal variations of the global abundance of ground …

We demonstrate compact, low power, lightweight laser-based sensors for measuring trace
gas species in the atmosphere designed specifically for electronic unmanned aerial vehicle (…

A model aircraft equipped with a custom laser-based, open-path methane sensor was
deployed around a natural gas compressor station to quantify the methane leak rate and its …

The long term Advanced Very High Resolution Radiometer (AVHRR)‐Normalized Difference
Vegetation Index (NDVI) record provides a critical historical perspective on vegetation …

Abstract Machine learning has found many applications in remote sensing. These applications
range from retrieval algorithms to bias correction, from code acceleration to detection of …

Phytophthora megakarya (Pmeg) and Phytophthora palmivora (Ppal) are closely related
species causing cacao black pod rot. Although Ppal is a cosmopolitan pathogen, cacao is the …

CMOS IC technology has become an affordable means for implementing capable systems
operating at 300 GHz and above. CMOS circuits have been used to generate a signal up to …

In this research, we present data‐driven forecasting of ionospheric total electron content (TEC)
using the Long‐Short Term Memory (LSTM) deep recurrent neural network method. The …

Featured Application Methods and algorithms developed in this manuscript may be applied
to ocean color satellite or aircraft imagery for the remote sensing of oceanic CDOM spectral …