Results 11 to 20 of about 118,489,445 (288)
Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information [PDF]
Finite-sample bounds on the accuracy of Bhattacharya’s plug-in estimator for Fisher information are derived. These bounds are further improved by introducing a clipping step that allows for better control over the score function. This leads to superior upper bounds on the rates of convergence, albeit under slightly different regularity conditions.
Wei Cao 0003 +3 more
openaire +3 more sources
The impact of domestic plug-in hybrid electric vehicles on power distribution system loads [PDF]
The market for Plug-in Hybrid Electric Vehicle (PHEVs) is expected to grow significantly over the next few years and a number of new products are soon to come onto the market, such as the Toyota Prius plug-in version, .
Infield, David, Huang, Sikai
core +4 more sources
ObjectiveThis study explores the relationship between physical exercise and school adaptation of junior middle school students and constructs a chain intermediary model through the intermediary role of psychological resilience and sports learning ...
Meng-Zhu Bai +5 more
doaj +1 more source
Plug and play : the impact of plug-in frequency on the potential of vehicle to grid to support transport and electricity system decarbonisation [PDF]
Vehicle-to-grid (V2G) from electric vehicles (EVs) represents an opportunity to provide transitioning electricity systems with battery storage as they face increasing shares of variable renewable generation.
Dixon, James
core +6 more sources
Vehicle Target Detection Network in SAR Images Based on Rectangle-Invariant Rotatable Convolution
In recent years, convolutional neural network (CNN)-based methods have been extensively explored for synthetic aperture radar (SAR) target detection. Nevertheless, the convolutional sampling locations of CNNs cannot accurately fit vehicle targets due to ...
Lu Li, Yuang Du, Lan Du
doaj +1 more source
The authors derive likelihood-based exact inference methods for the multivariate regression model, for singly imputed synthetic data generated via Posterior Predictive Sampling (PPS) and for multiply imputed synthetic data generated via a newly proposed
Ricardo Moura +3 more
doaj +1 more source
Mid-Wave Infrared Snapshot Compressive Spectral Imager with Deep Infrared Denoising Prior
Although various infrared imaging spectrometers have been studied, most of them are developed under the Nyquist sampling theorem, which severely burdens 3D data acquisition, storage, transmission, and processing, in terms of both hardware and software ...
Shuowen Yang +4 more
doaj +1 more source
Processing of induced sputum is time consuming and requires trained personnel, and consequently the use of induced sputum is limited to few sites globally.
Laurits Frøssing +4 more
doaj +1 more source
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Posterior sampling has been shown to be a powerful Bayesian approach for solving imaging inverse problems. The recent plug-and-play unadjusted Langevin algorithm (PnP-ULA) has emerged as a promising method for Monte Carlo sampling and minimum mean squared error (MMSE) estimation by combining physical measurement models with deep-learning priors ...
Renaud, Marien +4 more
openaire +5 more sources
Pada pertemuan konsultasi WHO-SEARO Intercountry Meeting, di Indonesia bising merupakan penyebab gangguan pendengaran ketiga terbanyak. Diperkirakan sedikitnya satu juta karyawan terancam bising dan akan terus meningkat.
Bianka Beladina Fitriyani +1 more
doaj +1 more source

