Results 291 to 300 of about 1,178,363 (355)

Enhanced anomaly network intrusion detection using an improved snow ablation optimizer with dimensionality reduction and hybrid deep learning model. [PDF]

Sci Rep
Alhayan F, Alshuhail A, Ismail AOA, Alrusaini O, Alahmari S, Yahya AE, Albouq SS, Al Sadig M.   +7 more
europepmc   +1 more source

Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters

Advanced Electronic Materials, EarlyView.
Design of Experiment and machine learning regression models are leveraged to analyze four process parameters (thickness, pore ratio, applied force, and frequency) of a contact‐separation triboelectric nanogenerator with graphene‐PDMS and aluminum layers using experimental data for the validation of predicted performance and the optimization of the ...
Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim   +6 more
wiley   +1 more source

A method for unsupervised learning of coherent spatiotemporal patterns in multiscale data. [PDF]

Proc Natl Acad Sci U S A
Lapo K, Ichinaga SM, Kutz JN.
europepmc   +1 more source

Observation of Mobility Above 2000 cm2/V s in 2DEG at LaInO3/BaSnO3 Interface by Electric‐Double‐Layer Gating

Advanced Electronic Materials, EarlyView.
The 2D carrier density of LaInO3/BaSnO3 2DEG to 1014 cm−2 by ionic‐liquid gating is increased and we found the resulting mobility enhancement up to 2100 cm2 V−1 s−1 at 10 K, which is consistent with the fact that 2‐dimensionality offers more effective screening for defects.
Jaehyeok Lee, Hyeongmin Cho, Jisung Park, Bongju Kim, Darrell G. Schlom, Kookrin Char   +5 more
wiley   +1 more source

North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada. [PDF]

Proc Natl Acad Sci U S A
Liu G, Li J, Li X, Ying T.
europepmc   +1 more source

Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey

Giovanni Battista Gaggero, P. Girdinio, Mario Marchese   +2 more
openalex   +1 more source

Highly Efficient Spin‐Orbit Torque Switching in a Topological Insulator/Chromium Telluride Heterostructure with Opposite Berry Curvature

Advanced Electronic Materials, EarlyView.
This study reports high spin‐torque efficiency (ΔHLJ=12.9×10−6mTA−1cm2$\frac{{{{\Delta}}{H_L}}}{J} = 12.9 \times {10^{ - 6}}{\mathrm{mT}}\;{{\mathrm{A}}^{ - 1}}{\mathrm{c}}{{\mathrm{m}}^2}$) and spin Hall conductivity (σSH=4.8×106ℏ2eΩ−1m−1${\sigma _{SH}} = 4.8 \times {10^6}\frac{\hbar }{{2e}}{{{\Omega}}^{ - 1}}{{\mathrm{m}}^{ - 1}}$), along with ...
Kewen Zhang, Yuhang Wu, Jingyan Song, Yitian Guo, Xiaolun Cai, Long Cheng, Dongxing Zheng, Aitian Chen, Peng Li, Xixiang Zhang   +9 more
wiley   +1 more source

Status of the ΛCDM theory: supporting evidence and anomalies. [PDF]

Philos Trans A Math Phys Eng Sci
Peebles PJE.
europepmc   +1 more source

Physics‐informed anomaly and fault detection for wind energy systems using deep CNN and adaptive elite PSO‐XGBoost

Chun‐Yao Lee, Edu Daryl C. Maceren
openalex   +1 more source

Noise Spectroscopy and Electrical Transport In NbO2 Memristors with Dual Resistive Switching

Advanced Electronic Materials, EarlyView.
Electrical properties of NbO2‐based memristors are studied and the ability to engineer them for computing applications is explored. By employing noise spectroscopy and by utilizing a dimerization model of insulators, negative differential resistance and inhomogeneous conduction regions are explained.
Nitin Kumar, Jong E. Han, Karsten Beckmann, Nathaniel Cady, G. Sambandamurthy   +4 more
wiley   +1 more source