Results 171 to 180 of about 8,140,064 (302)

Elite elimination osprey optimization algorithm optimized kernel extreme learning machine for bankruptcy prediction problems. [PDF]

Sci Rep
Liu W, Wu H, Wang T, Wu H.
europepmc   +1 more source

An Anti‐Amyloidogenic Approach to Specifically Block Memory Consolidation in Mice for Therapeutic Intervention

Advanced Science, EarlyView.
Functional amyloid conversion of the translation regulator CPEB3 is essential for long‐term memory persistence. This study demonstrates that targeting this molecular switch with the anti‐amyloidogenic peptide QBP1 selectively blocks CPEB3 fibrillation without disrupting phase separation.
Paula López‐García, Kerry R. McGreevy, Maria Eugenia Vaquero, Juan M. Suarez‐Rivero, Antonio Moreno‐Rodríguez, Antonio J. Pérez‐Pulido, Daniel Ramírez de Mingo, Anna Pallé, Helena Akiko Popiel, Andrea Santi, Mario D. Cordero, José Luis Trejo, Yoshitaka Nagai, Mariano Carrión‐Vázquez   +13 more
wiley   +1 more source

Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]

Sci Rep
Liu YW, Wang J, Liu C.
europepmc   +1 more source

Gaussian Processes with Bayesian Inference of Covariate Couplings

Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Gaussian processes are powerful probabilistic models that are often coupled with Automatic Relevance Determination (ard) capable of uncovering the importance of ...
Rosso, Mattia, Filippone, Maurizio, Ylä-Jääski, Juho, Heinonen, Markus, Shen, Zheyang   +4 more
core  

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model. [PDF]

Sci Rep
Gu Z, Guo L, Huang J, Xiao D, Ke Y, Zhang Y.   +5 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

M-estimation activation functions for high-performance extreme learning machine ensemble classification. [PDF]

Sci Rep
Alimi F, Khan A, Ali H, Bouzidi M, Alshammari AO, Ahmad B.   +5 more
europepmc   +1 more source

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

Advanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu, Hongmin Liu, Long Fan, Huakun Liu, Shixue Dou, Guoxiu Wang, Nana Wang, Zhongchao Bai   +7 more
wiley   +1 more source

Comprehensive evaluation and clinical implications of kernel extreme learning machine long short term memory transformer framework. [PDF]

Am J Transl Res
Zheng W, Pan Y, Wang Y, Zhu L.
europepmc   +1 more source