Results 211 to 220 of about 75,020 (311)

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Performance comparison of pressure swing adsorption and amine‐based absorption for synthesis gas purification

The Canadian Journal of Chemical Engineering, EarlyView.
Comparison of PSA and amine‐based absorption for syngas purification shows that PSA offers lower energy intensity, global warming potential, and minimum selling price, making it a more sustainable option. However, absorption achieves higher syngas purity. A GREENSCOPE‐based multi‐criteria assessment guides optimal process selection.
Magno Fonseca Santos, Antonio Esio Bresciani, Rita Maria Brito Alves   +2 more
wiley   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models. [PDF]

PLoS Comput Biol
Wang L, Wang Y, Qiu C, Xiao L, Liu X, Chen J.   +5 more
europepmc   +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

An Adaptive Octile JPS and Fuzzy-DWA Fused Path Planning Algorithm for Indoor Home Environments. [PDF]

Sensors (Basel)
Li W, Jia Z, Sun D, Han D, Qin Z, Liu Q.
europepmc   +1 more source

PEK14: A Kinesin‐4 Necessary for Male‐Derived Fertility in Arabidopsis thaliana

Cytoskeleton, EarlyView.
ABSTRACT Of the 61 kinesins annotated in Arabidopsis thaliana, many are still without assigned function. Here, we have screened an insertional mutant library of Arabidopsis pollen‐expressed kinesins for fertility defects. Insertional mutants for three kinesins showed a significant reduction in seed set.
Isabella N. Mendes, Norman R. Groves, Jessica Z. Li, Lily N. Thompson, Brian J. Smith, Aman Y. Husbands, Iris Meier   +6 more
wiley   +1 more source

Edge station deployment by fewest covered user first for cost improvement. [PDF]

Sci Rep
Shao K, Wang Y, Wang B, Sang Y.
europepmc   +1 more source

Humanlike AI for Corporate Social Responsibility Communication: How Perceived Anthropomorphism Shapes Stakeholder Acceptance of Chatbots

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang, Yang Cheng, Yuan Wang   +2 more
wiley   +1 more source

Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems. [PDF]

PLoS One
Zhao H, Huang X, Liu G, Li Z, Chen F, Lu G.   +5 more
europepmc   +1 more source