Results 101 to 110 of about 268,032 (299)

Interconnected Network of Cameras [PDF]

open access: yes
The real-time development of multi-camera systems is a great challenge. Synchronization and large data rates of the cameras adds to the complexity of these systems as well. The complexity of such system also increases as the number of their incorporating
Hosseini Kamal, Mahdad   +4 more
core   +2 more sources

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

open access: yesAdvanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn   +5 more
wiley   +1 more source

Transfer learning for temporal nodes bayesian networks [PDF]

open access: yes, 2013
Probabilistic graphical models are a common choice for modeling domains that operate under uncertainty. Within this framework, Bayesian networks have become very popular due to their highly intuitive representation that makes their interpretation easy ...
LINDSEY JENNIFER FIEDLER CAMERAS
core  

Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy

open access: yesAdvanced Engineering Materials, EarlyView.
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa   +6 more
wiley   +1 more source

VALIDATING A WILD TURKEY POPULATION SURVEY USING CAMERAS AND INFRARED SENSORS

open access: yesWildlife Society Bulletin, 1995
: TrailMaster® cameras activated by infrared sensors were used to validate the Bait Station Transect Survey, a wild turkey (Meleagris gallopavo) population monitoring technique used by the Florida Game and Fresh Water Fish Commission.
David T. Cobb   +2 more
doaj   +1 more source

Road Safety Camera Network - Speeding Categories Fixed and Mobile Cameras (Annual)

open access: yes
This data shows the infringement numbers for each speeding category offence,<br><br>for fixed digital cameras and mobile cameras.  Annual summary.<br><br><br><br ...

core  

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

Road Safety Camera Network - Speeding Categories Fixed and Mobile Cameras (Quarterly)

open access: yes
This data shows the infringement numbers for each speeding category offence,<br><br>for fixed digital cameras and mobile cameras.  Quarterly reports.<br><br><br><br ...

core  

Proof of concept of diffuse optical tomography using time-of-flight range imaging cameras [PDF]

open access: yes, 2010
Diffuse optical tomography is an optical technique to create 3-dimensional images of the inside of highly scattering material. Research groups around the world have been developing imaging systems using various source-detector arrangements to determine ...
Ahmad Hassan   +7 more
core   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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