Results 121 to 130 of about 3,078,415 (263)
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Remotely sensed data are widely used for forest stand type classification; however, traditional classification methods are time consuming and mostly implemented for spatially limited areas and species, restricting the transferability of these models to ...
Elif Sertel, Sule Nur Topgul
doaj +1 more source
Seed classification with random forest models
AbstractPremiseTo improve forest conservation monitoring, we developed a protocol to automatically count and identify the seeds of plant species with minimal resource requirements, making the process more efficient and less dependent on human operators.Methods and ResultsSeeds from six North American conifer tree species were separated from leaf litter
Josephine Elena Reek +3 more
openaire +4 more sources
Mapping of intact forest landscapes in Sweden according to Global forest watch methodology [PDF]
Currently, most of the world’s forests are directly or indirectly affected by some kind of human activity. More people are getting concerned with the state of tropical forests.
Hájek, Filip
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Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
Report of the Forest Commissioner of the State of Maine
The [9th] report contains "Wood-using industries of Maine by J.C. Nellis." Title-page omits "Report."Imprint varies: some vols. printed in Waterville, by the Sentinel Pub. Co.Vols.
Maine. Forest Commissioner. +1 more
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Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Minnesota Forest Scene, Issue 13 (Spring 2014)
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2014). Minnesota Forest Scene, Issue 13 (Spring 2014).
University of Minnesota. Department of Forest Resources
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