Results 231 to 240 of about 7,675,115 (371)
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
Unsupervised post-training learning in spiking neural networks. [PDF]
Naderi R, Rezaei A, Amiri M, Peremans H.
europepmc +1 more source
Learning in neural networks with local minima [PDF]
Tom Heskes+2 more
openalex +1 more source
The Angiopep‐2 peptide density on polymeric nanoparticles significantly impacts blood–brain barrier (BBB) penetration. This study explores this nuanced relationship using various in vitro models and in vivo assays, revealing that dynamic models better predict BBB penetration.
Weisen Zhang+9 more
wiley +1 more source
Stochastic dynamics of learning with momentum in neural networks [PDF]
Wim Wiegerinck, A Komoda, Tom Heskes
openalex +1 more source
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal+2 more
wiley +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana+2 more
wiley +1 more source
Evolutionary learning in neural networks by heterosynaptic plasticity. [PDF]
Bi Z+5 more
europepmc +1 more source
Oscillations and chaos in neural networks: an exactly solvable model.
L. Wang, E E Pichler, John Ross
openalex +1 more source