Results 171 to 180 of about 29,077 (283)
Preserving privacy for interesting location pattern mining from trajectory data
One main concern for individuals participating in the data collection of personal location history records i.e., trajectories is the disclosure of their location and related information when a user queries for statistical or pattern mining results such ...
Ho, Shen-Shyang, Ruan, Shuhua
core
Foliar spraying of CS‐CDs can form a film on the leaves of Brassica rapa, effectively reducing the enrichment and absorption of PS in the leaves, while increasing the biomass and nutrient content of the plants. In addition, CS‐CDs can also enrich the interfoliar microbial community and activate the plant's own defense metabolic pathways.
Beibei Zhao +6 more
wiley +1 more source
Assessing Local Differential Privacy for Compliance with the Personal Data Protection Law in Integrated Data Systems. [PDF]
Aljably R.
europepmc +1 more source
A multifunctional benzimidazole‐terminated CNF separator is constructed via a PEI‐mediated covalent locking strategy, generating dense zincophilic sites that accelerate Zn2+ transport and desolvation while enabling uniform Zn (002) deposition and suppressing side reactions.
Jie Liang +17 more
wiley +1 more source
This work presents a low‐concentration electrolyte enabled by hybrid organic Se/Te additives (DPDSe/DPDTe) that restructures solvation, boosts polysulfide dissolution, and provides dual‐site synergistic catalysis, delivering high capacity and stable cycling in Li–S coin and pouch cells, supporting high‐energy, high‐power operation.
Ruihua Li +10 more
wiley +1 more source
DP-FedDRC: differentially private personalized federated learning to alleviate dimension collapse
Federated learning faces dual challenges of data heterogeneity and privacy leakage in distributed privacy-preserving scenarios. Personalized federated learning mitigates data distribution discrepancies by constraining local model update directions, while
Wang Minli, Zhang Yuhao, Hu Changhui
doaj
Blockchain Based Secure Federated Learning With Local Differential Privacy and Incentivization. [PDF]
DE Chaudhury S +7 more
europepmc +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Dynamic local differential privacy location protection method based on critical path
Location information was recognized as a critical personal data asset in the digital age, offering convenient services while simultaneously posing significant risks of privacy breaches.
YAN Yan, LIU Kun, ZHANG Yanli, FENG Tao
doaj
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari +3 more
wiley +1 more source

