Results 151 to 160 of about 613,752 (314)

Root mean squared errors with 95% CIs for the different models.

Helene Bei Thomsen (21627091), Livie Yumeng Li (21627094), Anders Aasted Isaksen (15247036), Benjamin Lebiecka-Johansen (21627097), Charline Bour (16842354), Guy Fagherazzi (115092), William P. T. M. van Doorn (10004488), Tibor V. Varga (8136288), Adam Hulman (3533687)   +8 more
openalex   +1 more source

Asymptotic Integrated Mean Square Error Using Least Squares and Bias Minimizing Splines [PDF]

, 1980
Girdhar G. Agarwal, W. J. Studden
openalex   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Deep learning for minimum mean-square error approaches to speech enhancement

, 2019
Aaron Nicolson, Kuldip K. Paliwal
openalex   +2 more sources

Ion‐Selective Microporous Membranes via One‐Step Copolymerization Enable High‐Performance Redox Flow Batteries

Advanced Functional Materials, EarlyView.
A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu, Chunchun Ye, Ying Ma, Rui Tan, Xiangwen Wang, Huiting Zhang, Peng Song, Quan‐Fu An   +7 more
wiley   +1 more source

Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]

JMIR AI
Kakraba S, Ayyadevara S, Yadem Clement A, Abraham KE, Compadre CM, Shmookler Reis RJ.   +5 more
europepmc   +1 more source

Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production

Advanced Functional Materials, EarlyView.
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider, S. Esmael Balaghi, Niklas Ortlieb, Patrick Elsaesser, Sima Heidari, Christopher S. Allen, Anna Fischer   +6 more
wiley   +1 more source

Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization. [PDF]

Sci Rep
Palanisamy G, Kandasamy U, Rihan FA, Ben Said S.   +3 more
europepmc   +1 more source

A generalization of the Box-Draper approach to mean square error estimation of response surfaces: Preliminary report

, 1972
Lawrence L. Kupper, Edward F. Meydrech
openalex   +1 more source

On the mean square of the error term for the two-dimensional divisor problems(II) [PDF]

, 2008
Xiaodong Cao, Wenguang Zhai
openalex   +1 more source