Results 141 to 150 of about 190,630 (312)

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

U.S. Coast Guard Equipment Deployment Requirements for Hazardous Chemical Spill Response

The objective of the study was to determine the types, quantities and locations of equipment required by the U.S. Coast Guard to respond to spills of hazardous chemicals into U.S.
Fang, P., Garlitz, J., Bellantoni, Juan F., Frankel, L., John A. Volpe National Transportation Systems Center (U.S.), Litant, Irving   +5 more
core  

United States Coast Guard Report CG 373-72

, 1977
: Observed temperature and salinity data, plus sigma-t values and sound velocities are presented for 1620 oceanographic stations occupied by U.S.
Longacre, Adrian W.
core  

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs

Advanced Intelligent Discovery, EarlyView.
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley   +1 more source

Transforming the National Guard and Reserves into a 21st-Century Operational Force Final Report to Congress and the Secretary of Defense

, 2008
Final report of the Commission on the National Guard and Reserves describing their activities, findings, and recommendations for change to ensure the reserve components of the U.S.
United States. Commission on the National Guard and Reserves
core  

Microfluidic Valve‐Integrated Garment for Smooth Sequential Gradient Mechanotherapy

Advanced Intelligent Systems, EarlyView.
We present a soft wearable sleeve that delivers smooth, gap‐free compression using overlapping air‐filled actuators and tiny microfluidic valves. The system reduces bulk, lowers power needs, and uses a smartphone‐sized control box. It can provide sequential gradient compression, gradient pressure holding, and fast deflation, supporting more portable ...
Run Ze Gao, Chen Xi Huang, Drew M. Werbowski, Jacqueline Mary Kormylo, Clark R. Dickerson, Carolyn L. Ren   +5 more
wiley   +1 more source

The Plains guardian 2013 serving the Kansas Army and Air National Guard, Kansas Emergency Management, Kansas Homeland Security and Civil Air Patrol.

, 2013
This internet resource contains newsletter issued throughout the yearDold Joins Ranks Of Kansas National Guard Generals Kansas And Missouri Guard Rev It Up At Kansas Speedway Retired Stratotanker Honors Former 190th Commander Warrior Dash Builds ...
Kansas. Adjutant General's Department; Kansas. National Guard
core  

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

The Open‐Source Paradox: Africa's Digital Sovereignty and the Structural Limits of Artificial Intelligence Autonomy

AI &Innovation, EarlyView.
ABSTRACT Open‐source artificial intelligence is widely promoted as a democratising pathway to digital sovereignty for African states, offering access to frontier architectures without prohibitive capital investment. This paper investigates whether open‐source AI represents a credible route to autonomy or generates a new form of structural dependency ...
Ololade A. Shonubi
wiley   +1 more source