Results 221 to 230 of about 509,144 (286)
The specific rotation and stability of (2, 5)-fructose from a mathematical study of the hydrolysis of sucrose by fructosaccharase [PDF]
Kenneth Bailey, R. H. Hopkins
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Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone+7 more
wiley +1 more source
Mathematical modelling of rotational mechanical elements of higher order and their characteristics
Cem Civelek
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A high‐resolution image‐based multiphase and multi‐physics modelling framework is developed to decouple structural changes in the membrane electrode assemblies of high‐temperature proton exchange membrane fuel cells. These changes are then digitally combined to show how morphological defects such as membrane pores, catalyst cracks, and phase migration ...
Jianuo Chen+13 more
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Survey of Hopf fibrations and rotation conventions in mathematics and physics
David W. Lyons
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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
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We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru+7 more
wiley +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source
Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor
Herein, a new application is proposed for an active whisker sensor that mimics the movement of rat whiskers. The whiskers, which are deformed by contact with an object, provide information about surface properties. It is shown that active whisker sensors can be useful in the food industry, and data identification is performed using deep learning ...
Jieun Park+13 more
wiley +1 more source