Results 221 to 230 of about 12,304 (253)

Pocket-Surface Discrete Differential Geometry as a Leakage-Robust Feature Class for Protein-Ligand Binding Affinity Prediction. [PDF]

Molecules
Balcı MA, Çetin E, Calibasi-Kocal G, Akgüller Ö.   +3 more
europepmc   +1 more source

Dielectric and Magnetic Spherical Hollow Shells Subjected to a dc or Low-Frequency ac Field of <i>Any</i> Spatial Form: Complete Theoretical Survey of All Scalar and Vector Physical Entities, Including the Depolarization Effect. [PDF]

Materials (Basel)
Moraitis P, Tsakmakidis K, Nemes NM, Stamopoulos D.   +3 more
europepmc   +1 more source

Dual-branch spatio-temporal graph network for bearing fault diagnosis. [PDF]

Sci Rep
Wang Y, Li Y, Li C, Dai Q.
europepmc   +1 more source

Laplace-guided fusion network for camouflage object detection. [PDF]

Front Artif Intell
Zhang J, Gao F, He S, Zhang B.
europepmc   +1 more source

High-performance stretchable conductive film on complex microscale structures via spontaneous fusion of liquid metal. [PDF]

Nat Commun
Zhou S, Pang B, Yang G, Wang Z, Wei S, Qiu Y, Zheng Q, Yin Z, Wu C, Bu T, Wu H.   +10 more
europepmc   +1 more source

From flow to form: structuring and patterning hydrogels using microfluidic approaches.

Lab Chip
Bouker EE, Brown LG, Novak EN, Lin A, Whitten JM, Viswanathan AR, Milton LA, Alizai MY, Park S, Lee J, Knudsen LA, Cook SR, Toh YC, Berthier J, Haack AJ, Jeon NL, Berthier E, Theberge AB.   +17 more
europepmc   +1 more source

Elementary illustrations of the Celestial mechanics of Laplace part the first, comprehending the first book

Pierre Simon Laplace, Thomas Young, Thomas Young, Pierre Simon Laplace   +3 more
openaire   +2 more sources

Operator normed adaptive Laplace mechanism: A manifold-based approach for differential privacy

Electronic Research Archive
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Improving Laplace Mechanism of Differential Privacy by Personalized Sampling

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2020
The differential privacy is the state-of-the-art conception for privacy preservation due to its strong privacy guarantees, however it suffers from low accuracy. In this paper, we propose a personalized sample Laplace mechanism by combining the Laplace mechanism with sampling technology.
Wen Huang, Shilin Qiu, Yongjian Liao
exaly   +3 more sources

The optimal upper bound of the number of queries for Laplace mechanism under differential privacy

Information Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hui Li, Xiaoguang Li, Hui Zhu
exaly   +2 more sources