Results 181 to 190 of about 48,666 (293)

Deep learning-driven anomaly detection and feature discovery in Ce-rich (Ni-Fe-Co-Ce)O _<i>x</i> catalysts for oxygen evolution reaction. [PDF]

RSC Adv
Cheng CY, Wu YH, Li FY.
europepmc   +1 more source

Temporal Interference Stimulation Enhances Neural Regeneration

Advanced Science, EarlyView.
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti, Maria Garcia Garrido, Patrycja Dzialecka, Rachel Man Hoi Law, Roberto Portillo‐Lara, Bethany Geary, Elena Faillace, Shirine Merlo‐Nikpay Aslie, Marcelina Wojewska, Maria Otero‐Jimenez, Martina Genta, Luqiao Tan, Karen Duff, Javier Alegre‐Abarrategui, Rylie Green, Nir Grossmann   +15 more
wiley   +1 more source

Density-equalized RANDT scan matching with integrated outlier removal and point density uniformity. [PDF]

PLoS One
Johnson A, Subramaniam U, Kim H, J DU.
europepmc   +1 more source

Isolation Forest and Local Outlier Factor for Credit Card Fraud Detection System

, 2020
V. Vijayakumar, N Divya, P. Sarojini, K. Sonika   +3 more
openalex   +2 more sources

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Research on real-time detection of radiotherapy setup errors and intelligent quality control methods based on artificial intelligence and big data. [PDF]

Front Oncol
Lin W, Xiao C, Xiao L, Fang J, Xu X, Fang Y.   +5 more
europepmc   +1 more source

Reconfigurable Spoof Plasmonic Skyrmion Electronics for Deformation‐Invariant Multimode Sensing

Advanced Science, EarlyView.
A flexible multimode sensor based on capacitively loaded spoof plasmonic skyrmions enables deformation‐invariant dielectric sensing with ultra‐compact size and high Q‐factor. Near‐equidistant resonances remain stable under shape change and bending, while capacitor loading improves bending robustness and multimode sensitivity, highlighting strong ...
Zengxiang Wang, Xiangzheng Kong, Xiaojun Huang, Ying Tian, Wang Yao, Xia Xiao, Zhuo Li, Yu Luo   +7 more
wiley   +1 more source

Patterns of Population Genomic Variation and Evolutionary History of European Hake in the Northeastern Atlantic. [PDF]

Ecol Evol
Pujolar JM, Gardiner CEC, von der Heyden S, Robalo JI, Castilho R, Cunha RL, Meldrup D, Henriques R, Nielsen EE.   +8 more
europepmc   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder. [PDF]

Sci Rep
Daoud AM, Elkomy OM, Khedr WI, Hosny KM.
europepmc   +1 more source