Results 201 to 210 of about 22,567 (276)
Lightweight Cryptography in Embedded IOT Systems
Internet of things (IOT) is a hot topic, and applications are increasing every day, IOT has been involved now in sport, healthcare, automotive, smart homes and etc. it depends on creating a wide range of network that contains nodes(things) that are connected together to gateway and share data through internet.
openaire +1 more source
ABSTRACT AI‐driven personalization now structures search, recommendation, pricing, and service across the consumer journey, heightening a core dilemma: maximizing relevance and efficiency without compromising autonomy and trust. This article advances a capability‐based account of responsible personalization.
Yu‐Ming Hsu
wiley +1 more source
Lightweight ECC-Based Self-Healing Federated Learning Framework for Secure IIoT Networks. [PDF]
Salim MM, Naaz F, Choi K.
europepmc +1 more source
Data‐Driven Engineering of Thermostable Collagen‐Mimetic Peptoid Triple Helices
Data‐driven active learning discovery of collagen‐mimetic peptoids capable of forming a thermostable collagen‐like triple helix using computational screening followed by experimental validation. ABSTRACT Collagen‐mimetic peptides (CMPs) are engineered molecules designed to replicate the triple‐helical structure of natural collagen.
Alex Berlaga +6 more
wiley +1 more source
A lightweight zero-trust authentication architecture for IoT via unified enhanced FAST-SM9 and dynamic re-authentication. [PDF]
Ma Z +5 more
europepmc +1 more source
We develop an efficient GPU implementation of the hybrid Monte Carlo and molecular dynamics method in the GPUMD package and use it, in combination with the neuroevolution potential, to simulate the segregation of 15 solutes in polycrystalline Al, revealing distinct segregation patterns and the mechanisms of solute strengthening and embrittlement ...
Keke Song +6 more
wiley +1 more source
A multi-layered cryptographic trust reinforcement model against AI-driven threat propagation and zero-day cloud vulnerabilities in healthcare data ecosystems. [PDF]
Rani M +5 more
europepmc +1 more source
This study introduces a dual‐stage language model framework that extracts processing information from scientific literature and integrates it with thermodynamic data for magnesium alloy design. By combining semantic intelligence with quantitative modeling, the approach enables processing‐aware prediction of mechanical and thermal properties, bridging ...
Ziliang Lu +8 more
wiley +1 more source

