Results 31 to 40 of about 158,978 (298)
Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data [PDF]
We provide formal definitions and efficient secure techniques for - turning noisy information into keys usable for any cryptographic application, and, in particular, - reliably and securely authenticating biometric data.
Adam Smith +5 more
core +3 more sources
Integrating with analysis of uncertainties, this paper presented a multiobjective optimization approach for coordinating different DG from the perspective of Distribution Network Operator (DISOPER).
Limei Zhang +4 more
doaj +1 more source
With the increase in the varieties products and the increasing uncertainty about product demand, the production preparation time is a significant factor in addressing these issues.
Amalendu Singha Mahapatra +4 more
doaj +1 more source
In practical applications relating to business and management sciences, there are many variables that, for their own nature, are better described by a pair of ordered values (i.e. financial data).
Fabrizio Maturo
doaj +1 more source
Robust H∞ filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts [PDF]
Copyright [2010] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Dong, H, Gao, H, Wang, Z
core +1 more source
Competency mapping with Sugeno fuzzy inference system for variable pay determination: A case study
In this work we propose a novel approach for computing the variable pay/pay for performance component of employees in a technical institution based on Takagi Sugeno Kang (TSK)/Sugeno fuzzy inference system.
Sushri Samita Rout +2 more
doaj +1 more source
Different distance measures for fuzzy linear regression with Monte Carlo methods [PDF]
The aim of this study was to determine the best distance measure for estimating the fuzzy linear regression model parameters with Monte Carlo (MC) methods.
Cattaneo, Marco E.G.V., İçen, Duygu
core +2 more sources
Fuzzy Reliability Analysis With Fuzzy Random Variables Based on Perturbation Principle
In structural reliability calculation, there are fuzzy uncertainties in the distribution parameters of random variables, which bring the problem of large computation and poor precision.
Xiaobo Nie, Haibin Li
doaj +1 more source
Predictive intelligence to the edge through approximate collaborative context reasoning [PDF]
We focus on Internet of Things (IoT) environments where a network of sensing and computing devices are responsible to locally process contextual data, reason and collaboratively infer the appearance of a specific phenomenon (event).
Anagnostopoulos, Christos +1 more
core +1 more source
Solving constrained matrix games with fuzzy random linear constraints [PDF]
In real-world games, players may face an uncertain environment where fuzziness and randomness coexist. The main difficulty in dealing with games involving fuzziness and randomness arises when comparing the payoffs.
Djebara Sabiha +2 more
doaj +1 more source

