Results 181 to 190 of about 19,760 (270)
Federated learning for teacher data privacy protection: a study in the context of the PIPL. [PDF]
Chen S, Qi XZ, Han XH, Fan ZC, Wang LL.
europepmc +1 more source
Abstract Mutvei's solution is a widely utilized standard staining method for revealing growth increments in biogenic carbonates; however, it is a slightly toxic, destructive approach with varying success across species groups. Therefore, there has been growing interest in finding non‐toxic, less destructive, and straightforward alternative techniques ...
Mahsa Alidoostsalimi +7 more
wiley +1 more source
Blockchain-Based Trusted Data Management with Privacy Preservation for Secure IoT Systems. [PDF]
Zhou H, Gao H, Ma Z, Lai G.
europepmc +1 more source
ABSTRACT Artificial intelligence (AI) is rapidly reshaping modern marketing practice, yet whether this technology will ultimately advance or hinder diversity, equity, and inclusion in the marketplace remains unknown. On the one hand, AI promises to deliver better, more powerful services and products to a wider customer base. On the other hand, however,
Darius‐Aurel Frank +4 more
wiley +1 more source
Quantum key-based medical privacy protection and sharing scheme on blockchain. [PDF]
Zhu D, Zhou H, Zhou Z, Wu J, Zhao J.
europepmc +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
Post-Quantum Secure Lightweight Revocable IBE with Decryption Key Exposure Resistance. [PDF]
Zhang D, Ju H, Yan Z, Feng S, Li F.
europepmc +1 more source
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 +7 more
wiley +1 more source
A DAG-enabled cryptographic framework for secure drug traceability with identity-bound authentication and anomaly detection. [PDF]
C RS +6 more
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source

