Results 211 to 220 of about 406,163 (314)
Despite significant efforts in developing novel biomaterials to regenerate tissue, only a few of them have successfully reached clinical use. It has become clear that the next generation of biomaterials must be multifunctional. Smart biomaterials can respond to environmental or external stimuli, interact in a spatial‐temporal manner, and trigger ...
Sonya Ghanavati +12 more
wiley +1 more source
Smart Manufacturing for High-Performance Materials: Advances, Challenges, and Future Directions. [PDF]
Antony Jose S +5 more
europepmc +1 more source
An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition. [PDF]
Kiangala KS, Wang Z.
europepmc +1 more source
Additive Manufacturing of Smart Antennas and Frequency Selective Surfaces
Anshuman Shastri
openalex +1 more source
This work presents a novel, dynamically perfused, configurable microfluidic system for epidermis‐only (E and full‐thickness skin (FT SoC) growth, emulating human skin structure and barrier function. Upon TiO2 nanoparticle exposure, the system reveals compromised barrier integrity, reduced metabolic activity, increased permeability, and chemokine‐driven
Samantha Costa +7 more
wiley +1 more source
A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing. [PDF]
Wang T, Zhang B, Jiang D, Li D.
europepmc +1 more source
Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems. [PDF]
Leng J +7 more
europepmc +1 more source
Comparison of therapeutic and diagnostic applications of a surface‐emitting light source with multiwavelength emission characteristics. Abstract Conventional light‐emitting‐diode‐based light sources suffer from rigidity, localized heating, and poor adaptability to skin deformation, limiting their use in skin‐attached medical devices.
In Ho Kim +10 more
wiley +1 more source
Virtual, Augmented, and Mixed Reality Robotics-Assisted Deep Reinforcement Learning Towards Smart Manufacturing. [PDF]
Le T, Vinh LQ, Pham VH.
europepmc +1 more source

