Results 151 to 160 of about 3,121 (282)

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

BloomSec: Scalable and privacy-preserving searchable encryption for cloud environments. [PDF]

PLoS One
Khan AN, Naveed A, Mehmood A, Arora D, Khan AUR, Ali J.   +5 more
europepmc   +1 more source

Attribute-based multi-user collaborative searchable encryption in COVID-19. [PDF]

Comput Commun, 2023
Zhao F, Peng C, Xu D, Liu Y, Niu K, Tang H.   +5 more
europepmc   +1 more source

Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces

InfoMat, EarlyView.
A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
wiley   +1 more source

SENSH: a blockchain-based searchable encrypted data sharing scheme in smart healthcare. [PDF]

PeerJ Comput Sci
Luo S, Tan L, Hu T, Hu M.
europepmc   +1 more source

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

Laser &Photonics Reviews, EarlyView.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja, Albin J. Svärdsby, Timo Gahlmann, Philippe Tassin   +3 more
wiley   +1 more source

A privacy-preserving multi-user retrieval system for multimodal artificial intelligence. [PDF]

Sci Rep
Gao Y, Luo W, Wang C, Ahmad NS, Wang X, Goh P.   +5 more
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

A Blockchain-Enabled Multi-Authority Secure IoT Data-Sharing Scheme with Attribute-Based Searchable Encryption for Intelligent Systems. [PDF]

Sensors (Basel)
Zhang F, Xia X, Gao H, Ma Z, Chen X.
europepmc   +1 more source

On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities. [PDF]

Sensors (Basel), 2023
Fernandes R, Bugla S, Pinto P, Pinto A.
europepmc   +1 more source