Results 201 to 210 of about 106,296 (285)

Red meat from animals offered a grass diet increases platelet n–3 PUFA in healthy consumers [PDF]

open access: bronze, 2010
Alison J. McAfee   +8 more
openalex   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Autonomous Intuition for Advanced Manufacturing Systems: Benefits and Tradeoffs of Presampling for Autonomous Parameterization

open access: yesAdvanced Intelligent Discovery, EarlyView.
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar   +3 more
wiley   +1 more source

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