Results 81 to 90 of about 289 (170)

A Novel Three‐Way Decision‐Based Approach for Environmental, Social, and Governance Performance Evaluation of Power Industry Under Pythagorean Fuzzy Multi‐Attribute Decision‐Making Environment

open access: yesSafety Science and Technology, EarlyView.
A novel method for evaluating the ESG performance level of power companies is proposed. The PFS‐FWZIC method is employed to calculate the indicator weights, avoiding the inconsistency issues associated with traditional methods. An ESG performance evaluation index system tailored for the power industry is constructed.
Qiang Li   +4 more
wiley   +1 more source

CFD Mechanistic Modeling of a Monolithic Chromatography System: Challenges and Opportunities. [PDF]

open access: yesACS Omega
Coimbra JC   +4 more
europepmc   +1 more source

Curvature Induced by Deflection in Thick Meta-Plates. [PDF]

open access: yesAdv Mater, 2021
Mirzaali MJ   +10 more
europepmc   +1 more source

Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi   +3 more
wiley   +1 more source

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

open access: yesTeaching Statistics, EarlyView.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti   +1 more
wiley   +1 more source

APTNet: A Condition‐Sensitive Modulation Framework for Surface Pressure Prediction on Supersonic Aircraft

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley   +1 more source

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