Results 191 to 200 of about 2,204,167 (303)

Distributed Multi-Task Learning with Shared Representation [PDF]

, 2016
Jialei Wang, Mladen Kolar, Nathan Srebro
openalex   +1 more source

An Adaptive Human Pilot Model With Reaction Time Delay for Enhanced Adaptive Control in Piloted Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley   +1 more source

BioMedKG: multimodal contrastive representation learning in augmented BioMedical knowledge graphs. [PDF]

Front Syst Biol
Dang T, Nguyen VTD, Le MT, Hy TS.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

ProGraphTrans: multimodal dynamic collaborative framework for protein representation learning. [PDF]

BMC Biol
Zeng L, Liu Y, Han G, Yu ZG, Liu Y.
europepmc   +1 more source

A Mutual Information Maximization Perspective of Language Representation Learning [PDF]

, 2020
Lingpeng Kong, Cyprien de Masson d’Autume, Lei Yu, Ling Wang, Zihang Dai, Dani Yogatama   +5 more
openalex  

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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Representation learning with parameterised quantum circuits for advancing speech emotion recognition. [PDF]

Sci Rep
Rajapakshe T, Rana R, Riaz F, Khalifa S, Schuller BW.   +4 more
europepmc   +1 more source

FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning

, 2023
Athanasios Psaltis, Christos Chatzikonstantinou, Charalampos Z. Patrikakis, Petros Daras   +3 more
openalex   +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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source