Results 181 to 190 of about 1,093,151 (324)
Projective Low-rank Subspace Clustering via Learning Deep Encoder [PDF]
Jun Li, Hongfu Liu, Handong Zhao, Yun Fu
openalex +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank. [PDF]
Dey V, Ning X.
europepmc +1 more source
Entity attribute ranking using learning to rank
PUBLISHED cited By ...
openaire +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Learning low-rank latent mesoscale structures in networks. [PDF]
Lyu H, Kureh YH, Vendrow J, Porter MA.
europepmc +1 more source
pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework. [PDF]
Yang H, Chi H, Zeng WF, Zhou WJ, He SM.
europepmc +1 more source
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data. [PDF]
Peng B +5 more
europepmc +1 more source

