Results 81 to 90 of about 2,761 (153)

A comparative performance analysis of fully homomorphic and attribute-based encryption schemes. [PDF]

Sci Rep
More KD, Pramod D.
europepmc   +1 more source

Improving Survival Models in Health Care by Balancing Imbalanced Cohorts: A Novel Approach. [PDF]

JCO Clin Cancer Inform
Ning C, Bertsimas D, Lønning PE, Auecio FN, Burkhart R, Balzer F, Buettner S, Baba H, Endo I, Stasinos G, Gagnière J, Verhoef C, Kreis ME, Margonis GA.   +13 more
europepmc   +1 more source

Optimizing fully homomorphic encryption

, 2016
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.This electronic version was submitted by the student author.
King, Kevin C
core  

Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations. [PDF]

Sensors (Basel)
Kim E, Lee S.
europepmc   +1 more source

Extended GNSS ambiguity resolution models with regularization criterion and constraints

, 2009
This paper firstly presents an extended ambiguity resolution model that deals with an ill-posed problem and constraints among the estimated parameters. In the extended model, the regularization criterion is used instead of the traditional least squares ...
Li, Bofeng, Shen, Yunzhong, Feng, Yanming   +2 more
core  

A Blue Start: A large-scale pairwise and higher-order social network dataset. [PDF]

Sci Data
Smith AH, Amburg I, Kumar S, Welles BF, Landry NW.   +4 more
europepmc   +1 more source

Bootstrapping Dependent Data

, 2007
3.15> 2ßj=n, j = 1; : : : ; n F ; n F is largest integer less than n=2. ffl Under mild conditions, I(! j ) : ¸g(! j )E j , where E j are independent standard exponential variables. For white noise, I(!
Anthony Davison Swiss, Anthony Davison
core  

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference. [PDF]

Sci Rep
Selvakumar S, Senthilkumar B.
europepmc   +1 more source

A new classs of GNSS ambiguity estimators.

, 2002
In Teunissen (1999) we introduced the class of admissible integer estimators. Members from this class are defined by their so-called pull-in regions. These pull-in regions satisfy the following three conditions.
Teunissen, Peter
core  

DARTPHROG: A Superscalar Homomorphic Accelerator. [PDF]

Sensors (Basel)
Magyari A, Chen Y.
europepmc   +1 more source