Batch alignment of single-cell transcriptomics data using deep metric learning. [PDF]
Nat Commun, 2023 Yu X, Xu X, Zhang J, Li X.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level. [PDF]
Brief Bioinform, 2023 Liu Y +7 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.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
Opportunistic screening of type 2 diabetes with deep metric learning using electronic health records. [PDF]
Sci RepJin Q +14 more
europepmc +1 more source
Leaf disease image retrieval with object detection and deep metric learning. [PDF]
Front Plant Sci, 2022 Peng Y, Wang Y.
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.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
Deep Metric Learning-Based Classification for Pavement Distress Images. [PDF]
Sensors (Basel)Li Y, Wang J, Lü B, Yang H, Wu X.
europepmc +1 more source
A Boosting-Based Deep Distance Metric Learning Method. [PDF]
Comput Intell Neurosci, 2022 Li Z.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source