Results 131 to 140 of about 95,031 (330)
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
A‐optimal model‐based design of experiments for processes with uncertain inputs
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori +3 more
wiley +1 more source
Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Elliptic-Möbius S-boxes: A hybrid algebraic construction for cryptographic applications
Alexandria Engineering JournalSubstitution boxes (S-boxes) are the nonlinear core of block ciphers, and their design critically impacts resistance against cryptanalytic attacks. Existing approaches either use chaotic maps, which often exhibit structural weaknesses, or elliptic curve (
M. Awais Ehsan +2 more
doaj +1 more source
On algebraic independence of certain multizeta values in characteristic p [PDF]
, 2016 Yoshinori Mishiba
openalex +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Efficient and Compact Full-Domain Functional Bootstrapping via Subring Folding
Transactions on Cryptographic Hardware and Embedded SystemsFunctional bootstrapping has emerged as a powerful tool in fully homomorphic encryption (FHE), integrating noise reduction and function evaluation. FHEW/TFHE-based functional bootstrapping has demonstrated high efficiency in evaluating arbitrary non ...
Han Xia, Mingsheng Wang
doaj +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Infinite Algebraic Independence of Some Almost Polyadic Numbers [PDF]
, 2023 V. Yu. Matveev
openalex +1 more source