Results 211 to 220 of about 43,499 (308)

The History and Ideas of George Herbert Mead's Pragmatism and Its Relevance for Operational Research and Systems Thinkers

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT George Herbert Mead is an oft forgotten or ignored American philosopher who was one of the originators of pragmatism. Today, he is recognised as a creative thinker who has teased out knotty problems that others in the field had not realised were problems. Understanding Mead's analysis has been made difficult because he died prematurely without
Richard Ormerod
wiley   +1 more source

Numerical Prediction of Deformation‐Induced Martensitic Transformation in Cold‐Sprayed Austenitic Stainless Steel

open access: yessteel research international, EarlyView.
Cold spray deposition of stainless steel (grade: SS304) is evaluated for marine applications, with emphasis on martensitic transformation during impact. Analytical modeling, simulations, and experiments reveal that helium‐assisted spraying of fine powders promotes cooling below the martensitic start temperature, enabling up to ≈40% austenite to ...
Cal Vin Wong   +4 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi   +5 more
wiley   +1 more source

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