Results 211 to 220 of about 22,065 (311)

Reinforcement learning driven adaptive active frequency drift for fast and reliable islanding detection. [PDF]

Sci Rep
Abo-Khalil AG, Sayed K, Mbungu NT, Elnady A, Ismail AAA, Siti MW.   +5 more
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Experimental Insights into Islanding Detection in PV Inverters: Foundations for a Parallel-Operation Test Standard. [PDF]

Sensors (Basel)
Chmielowiec K, Piszczek A, Topolski Ł.
europepmc   +1 more source

Investigating the Cytoskeleton of DRGs Using Cryo‐Electron Microscopy and Deep Learning

Cytoskeleton, EarlyView.
ABSTRACT We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo‐EM). Cryo‐EM reveals the dimensions, proximity, and overall organization of biological specimens in a near‐native state, avoiding artifacts of fixation and ...
M. Neal Waxham, Mihir Relan, Matthew T. Swulius, Andrea K. H. Stavoe   +3 more
wiley   +1 more source

Application of optimal power point tracking technology in distributed grid-connected photovoltaic systems. [PDF]

PLoS One
Yang P, Weng H, Zhong Y.
europepmc   +1 more source

Energy Landscapes in Chemical Reactions and Transport

ChemPhysChem, Volume 26, Issue 6, March 15, 2025.
Kinetics/dynamics of chemical reactivity and transport of chemical species in a solid are both determined by the energy landscape in which they take place. Discussing common grounds but also distinct differences may help in advancing the understanding in both fields.
Karl‐Michael Weitzel
wiley   +1 more source

Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]

Sci Rep
Swarnkar V, Ralhan S, Singh M, Parashar D, Singh M.   +4 more
europepmc   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Improved finite control set model predictive current control design for variable-speed wind-energy conversion system connected to the grid via an LCL filter. [PDF]

Sci Rep
Hamid HBA, Hassan JNA, Ali GH, Ma T, Ko C, Khan H, Mohammed OAA, Shahid A.   +7 more
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source