Adaptive Neural Network Molecular Dynamics
ML approach, based on artificial neural networks (ANNs) is used in atomistic simulations to efficiently reproduce the very complex energy landscape resulting from the atomic inter…
Aerosol and Cloud Identification in SAGE III/ISS Aerosol Extinction Profiles
This work uses machine learning techniques to classify aerosols in SAGE (Stratospheric Aerosol and Gas Experiment) III / ISS (International Space Station) Aerosol Extinction Profi…
AMP: An Automated Metadata Pipeline
In this work, we combine ontologies and machine learning to auto-generate robust, semantically consistent, variable-level metadata records for large NASA satellite collections, an…
Application of High-Dimensional Fuzzy K-mean Cluster Analysis to CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) / CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observatory) Version 4.1 Feature Classifications
This project uses Fuzzy K-means clustering (unsupervised learning) to validate the cloud-aerosol discrimination algorithm used in the publibly-distributed CALIOP (Cloud-Aerosol Li…
CERES FluxByCldTyp Data Product Narrowband-to-Broadband Algorithm Improvement Through Deep Neural Network (DNN)
Apply DNN (Deep Neural Networks) to the CERES (Clouds and the Earth's Radiant Energy System) Flux by Cloud Type data narrowband-to-broadband algorithms to improve shortwave and lo…
Cloud Detection Neural Network
Detection of clouds below and above aircraft to reduce cloud contamination and improve NASA passive remote sensing of aerosols, oceans and lands from aircraft.
Combining Satellite and Ground-based Observations to Improve Cloud Ceiling Observations over CONUS for Aviation Weather
A k-nearest neighbors method is applied to use satellite observations to extend sparse ceilometer observations at surface stations to high spatiotemporal resolutions over CONUS (C…
Detection of multi-layered clouds from multispectral MODIS/VIIRS data using an artificial neural network trained with CALIPSO-CloudSat data.
Detection of multi-layered clouds from multispectral MODIS (Moderate Resolution Imaging Spectroradiometer) / VIIRS (Visible Infrared Imaging Radiometer Suite) data using an artifi…
Developing Quantum Reservoir Computing Hardware and Software for Deep Learning
This study uses integrated photonic circuits, mode-locked lasers and quantum optics to perform fast computing that use that to train the recurrent neural network deep learning thr…
Estimation of Multilayered Cloud Properties from Geostationary Satellite Imager Data
A deep neural network is developed and applied to geostationary satellite imagery data to identify and retrieve characteristics of multi-layered clouds for potential use in weathe…
Estimation of Multilayered Cloud Properties from Low-Earth-Orbit Satellite Imager Data
An artificial neural network is developed and applied to satellite imagery data to identify and retrieve characteristics of multi-layered clouds for potential use in weather and c…
Geostationary Satellite Sounder Pathfinder Project for 4-D Atmospheric Thermodynamics and Winds
A k-nearest neighbors technique, coupled with an advanced data assimilation system are applied to hyperspectral infrared and geostationary satellite imager data to provide high sp…
Identifying Aerosol Subtypes from CALIPSO Lidar Profiles Using Deep Machine Learning
Applies convolutional neural networks (supervised learning) to automatically identify the presence of different aerosol species (e.g., dust and smoke) in CALIPSO lidar backscatter…
Identifying flaws in manufacturing of composites
Inspection for manufacturing flaws makes up 40% of fabrication time so if that time could be reduced it would have a significant impact on overall manufacturing time. That doesn’…
Improvements in Global Nighttime Satellite Cloud Analyses for Weather and Climate
A k-nearest neighbors method is applied to overcome nighttime infrared satellite imagery sensitivity limits that dramatically improves nighttime cloud analyses and their consisten…
Improving CERES Low-Latency Surface Radiation Fluxes with Machine/Deep Learning
In conjunction with sophisticated radiative transfer simulations, the CERES (Clouds and the Earth's Radiant Energy System) team is using machine and deep learning methods to impro…
Intelligent Contingency Management
Adapt and train AI algorithms to contribute to an autonomous vehicle mission manager for Advanced Air Mobility (Cargo, Air Taxis). At a high level, the AI must recognize contingen…
Lessons Learned Bot (LLB)
In near real-time, the Lessons Learned Bot, or LLB, brings lessons learned (LL) documents to users through a Microsoft Excel add-in application locally installed to search for LL…
Machine Learning for Advancing Risk Precursor Identification Tools in Commercial Airline Terminal Area Operations (out of D318)
This work uses a variety of machine learning techniques to recommend commercial terminal area aviation failure modes in addition to unstable vertical approach, evaluate these for…
Mitigating Problematic GOES-17 Infrared Radiances at Night for Weather and Climate Applications
A k-nearest neighbors method is applied to successfully reconstruct bad infrared radiance measurements at night caused by an instrument cooling problem on the GOES-17 (Geostationa…
NASA OCIO STI Concept Tagging Service
An API (application program interface) for exposing topic models created with the STI (Scientific & Technical Information) concept training repository.
New Skin Temperature Analyses for Satllite Cloud Retrievals
A deep neural network is applied to model analyses and satellite observations to improve skin temperature estimates needed for satellite remote sensing of cloud properties.
Nocturnal Opaque Ice Cloud Optical Depth Analyses from MODIS Multispectral Infrared Radiances
An artificial neural network is developed and applied to improve estimates of opaque ice cloud optical depths at night using MODIS (Moderate Resolution Imaging Spectroradiometer)…
PACE-MAPP
The MAPP (modeling, analysis and prediction program) remote sensing retrieval algorithm for the upcoming PACE (plankton, aerosol, cloud, ocean ecosystem) satellite mission uses ne…