Results 91 to 100 of about 1,407 (262)
Business Strategy and the Environment, EarlyView.ABSTRACT This study provides an exploratory, descriptive analysis of how knowledge management (KM) research engages with responsible sustainability from a strategic perspective. Using bibliometric science mapping, we analyse 97 Web of Science publications to identify dominant thematic patterns, relative emphases and conceptual blind spots shaping the ...
Jaime J. González‐Masip
wiley +1 more source
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
Maximal orders in unramified central simple algebras
, 2017 Using depth of coherent sheaves on noetherian algebraic stacks, we construct nonAzumaya maximal orders in unramified central simple algebras over schemes of dimension at least ...
B Antieau (7936622), K Chan (7772873)
core
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
On the essential dimension of central simple algebras
, 2015 The essential dimension of an algebraic object is a formalization of the familiar concept of minimal number of 'parameters' needed to describe it and thus gives an idea of the complexity of its structure.
LACINI, JUSTIN
core
On the exceptional central simple non-Lie Mal’cev algebras
, 1978 Malcev algebras belong to the class of binary Lie algebras. Any Lie algebra is a Malcev algebra. In this paper we show that for each seven-dimensional central simple non-Lie Malcev algebra any finite dimensional Malcev module is completely reducible also
Renate Carlsson
core +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley +1 more source
On maximal subalgebras of central simple Malcev algebras
, 1986 In this paper the structure of the maximal elements of the lattice of subalgebras of central simple non-Lie Malcev algebras is considered. Such maximal subalgebras are studied in two ways: first by using theoretical results concerning Malcev algebras ...
Elduque Palomo, Alberto Carlos
core
Simple Lie Algebras and Graphs
, 1994 Kaplansky introduced several classes of central simple Lie algebras in characteristic 2. We view these algebras in terms of graphs, and we classify them using a theorem of Shult characterizing graphs with the "cotriangle condition"; there is also a ...
Weichsel, P.M., Rotman, J.J.
core +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