Results 141 to 150 of about 2,159,265 (282)

Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications

High Voltage, EarlyView.
ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran, Yi Wang, Changheng Li, Jingyu Deng, Jian Wang, Haochen Zuo, Chen Zhao, Qian Wang, Yi Li, Song Xiao, Zhengyong Huang, Chao Wu, Zhonghui Shen, Kunming Shi, Fei Liu, Jie Chen, Jian Li, Xingyi Huang   +17 more
wiley   +1 more source

State‐of‐the‐Art Artificial Intelligence for Condition Perception of Power Equipment: Applications and Trends

High Voltage, EarlyView.
ABSTRACT With the advancement of the ‘carbon peaking and carbon neutrality’ targets and the construction of new power systems, the operating environment of power equipment is becoming increasingly complex, rendering traditional operation and maintenance strategies insufficient to meet the demands of safe and stable grid operation.
Hui Song, Gehao Sheng, Zonglin Wang, Yuxiao Zhang, Lingen Luo, Xiuchen Jiang   +5 more
wiley   +1 more source

TAXI, CHILLI AND MOBILE PARTY BRANCH: Reterritorialization of Migrants in Urban Villages, Shenzhen

International Journal of Urban and Regional Research, EarlyView.
Abstract In China as well as in other countries, migrants often grapple with urban inequities by actively reshaping the functions and meanings of their environments. While acknowledging established frameworks such as place‐making and urban informality, this study adopts a complementary lens, framing migrants’ everyday practices as a process of ...
Xinrui Gao, Jennifer Day, Sun Sheng Han
wiley   +1 more source

Nonparametric Density Estimation for Positive Time Series [PDF]

The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions have been put forward to solve this boundary problem. In this paper we propose
Jeroen V.K. Rombouts, Taoufik Bouezmarni
core  

Reusing Geospatial Data of Invasive Alien Insect Species From the Literature: Significance, Challenges, and Potential

Integrative Zoology, EarlyView.
We use bibliometric analysis to evaluate geospatial data reuse for invasive alien insect species (IAIS). Of 1032 relevant publications, 51.0% lacked downloadable raw data. Integrating cross‐regional, temporal, and multi‐species data could address single‐study limitations, but data scarcity remains a barrier.
Shuhao Tan, Yiqi Xu, Qiaoling Lin, Muzi Ge, Yuting Wu, Jianshi Jin   +5 more
wiley   +1 more source

ManUSPECTRAL – the Mannheim Urology HyperSPECTRAL Imaging Atlas of 17 Physiological Human Organs

BJU International, EarlyView.
Objectives To establish a standardised intraoperative hyperspectral imaging (HSI) human organ reference dataset and to characterise spectral signatures across organ classes as a foundation for future computational and clinical applications. Subjects and Methods Intraoperative assessment of anatomical structures and tissue quality such as perfusion or ...
Alexander Rathenborg, Vera Klütz, Paula Grützner, Luisa Hartung, Greta Demmel, Christoph Julien Bender, Jan Sellner, Silvia Seidlitz, Caelan Max Haney‐Aubert, Wahid Fattal, Tilmann Clanget, Berkin Özdemir, Samuel Knoedler, Gabriel Alexander Salg, Luisa Renner, Nicolas Carl, Cuyler Yu, Charlene Leung, Dominic Edelmann, Nicholas Schreck, Maurice Stephan Michel, Lena Maier‐Hein, Karl‐Friedrich Kowalewski   +22 more
wiley   +1 more source

Correcting Axial Length‐Related Magnification Errors in Optical Coherence Tomography Angiography Improves Machine Learning Classification Performance in High Myopia

Clinical &Experimental Ophthalmology, EarlyView.
ABSTRACT Background To determine whether axial length‐related magnification correction in optical coherence tomography angiography (OCTA) improves machine learning classification of high myopia and resolves inconsistencies in the values and discriminatory power of OCTA microvascular metrics.
Danuta M. Sampson, Mila Yue Zhang, Hemn Baghban Jaldian, Madeleine S. Torcasso, Gavrielle R. Untracht, Jocelyn J. Drinkwater, Mei Zhao, David D. Sampson, Andrew Lam, Fred K. Chen   +9 more
wiley   +1 more source

Adaptive super-resolution UAV inspection and image perception strategy planning for distribution networks. [PDF]

Sci Rep
Liu J, Xu G, Ma Y.
europepmc   +1 more source

A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models [PDF]

We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature.
Woocheol Kim, Oliver Linton
core  

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source