Results 161 to 170 of about 44,639 (273)

Neural network with signal parameters featuring for near‐surface velocity model building

Near Surface Geophysics, EarlyView.
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley   +1 more source

Innovative approach to support therapeutic proteins' similarity in hydrodynamic size using high-throughput dynamic light scattering and forced degradation. [PDF]

Sci Rep
Bhirde A, Harish S, Trunfio N, de Luna IF, Smith W, Fu Q.   +5 more
europepmc   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl, Iuliia Polkova, Guokun Lyu, Frank Lunkeit, Abhirup Banerjee, Silke Schubert, Detlef Stammer   +6 more
wiley   +1 more source

High-Resolution Diffusion-Weighted Imaging With Self-Gated Self-Supervised Unrolled Reconstruction. [PDF]

Magn Reson Med
Tan Z, Liebig PA, Hofmann A, Laun FB, Knoll F.   +4 more
europepmc   +1 more source

Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke, K. S. Adekeye, J.‐C. Malela‐Majika   +2 more
wiley   +1 more source

Asymptotic quantification of entanglement with a single copy. [PDF]

Nat Phys
Lami L, Berta M, Regula B.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Amplitude Versus Angle (AVA) feature restoration in prestack gathers via dictionary learning. [PDF]

PLoS One
Gao Y, Shi X, Zhang D, Wang C, Zhang R, Feng Y.   +5 more
europepmc   +1 more source

Towards a Sustainable Future: The Role of Technological Innovation and Digitalization in European Union Climate Change Mitigation

Sustainable Development, EarlyView.
ABSTRACT Technological innovation and digitalization are widely viewed as key drivers of sustainable development, yet their effectiveness in reducing carbon emissions remains uncertain. This study examines how technological innovation, digitalization, energy structure, and economic activity shape both CO2 emissions and total factor productivity in 22 ...
Muhammad Waqas Khalid, Fatima Lambarraa‐Lehnhardt, Lea Nicita   +2 more
wiley   +1 more source

The relationship between harsh parenting and adolescent cyberbullying: a network analysis. [PDF]

BMC Psychol
Wu J, Shao Y, Hu J, Zhao X.
europepmc   +1 more source