[PDF][PDF] Generalized fractional Hilfer integral and derivative

JEN Valdés - Contr. Math, 2020 - shahindp.com
Generalized fractional Hilfer integral and derivative 1. Introduction Page 1 Contributions to
Mathematics www.shahindp.com/locate/cm Contrib. Math. 2 (2020) 55–60 DOI: 10.47443/cm.2020.0036 …

New fractional derivative with sigmoid function as the kernel and its models

JG Liu, XJ Yang, YY Feng, P Cui - Chinese Journal of Physics, 2020 - Elsevier
Based on the idea of the fractional derivative with respect to another function, a new
fractional derivative operator with sigmoid function as the kernel in this article, is proposed …

An approach to dynamically assigning cloud resource considering user demand and benefit of cloud platform

Z Qian, X Wang, X Liu, X Xie, T Song - Computing, 2020 - Springer
Cloud computing, with the features of flexible resource assignment, timely on-demand
service and transparent by-quantity pricing, has been widely applied recently. As a new …

Weighted sigmoid-based frequency-selective noise filtering for speech denoising

N Sharma, MK Singh, SY Low, A Kumar - Circuits, Systems, and Signal …, 2021 - Springer
Estimation of noise often has a major impact on the quality of enhanced signal, especially
when it comes in speech enhancement applications. The non-stationary noise statistics vary …

Evaluation of women's entrepreneurship education based on BP neural network

X Zhao, C Lin, S Wang, H Zhao - Scientific Programming, 2022 - Wiley Online Library
Entrepreneurship education is the key to cultivating the entrepreneurial spirit of national
talents. The goal of entrepreneurship education is to cultivate a large number of pioneering …

Automatic Estimation of the Interference Subspace Dimension Threshold in the Subspace Projection Algorithms of Magnetoencephalography Based on Evoked State …

R Zhao, R Wang, Y Gao, X Ning - Bioengineering, 2024 - mdpi.com
A class of algorithms based on subspace projection is widely used in the denoising of
magnetoencephalography (MEG) signals. Setting the dimension of the interference …

Constraint information extraction for 3D geological modelling using a span-based joint entity and relation extraction model

C Zhuang, C Liu, H Zhu, Y Ma, G Shi, Z Liu… - Earth Science …, 2024 - Springer
Data sparsity has long been a problem in 3D geological modeling work. The geometric,
topological, and attribute information of geological bodies in geological reports provide …

Maximum-likelihood approach with Bayesian refinement for multichannel-Wiener postfiltering

P Thüne, G Enzner - IEEE Transactions on Signal Processing, 2017 - ieeexplore.ieee.org
Multichannel signal enhancement is an important task, eg, in modern speech
communication. It can be approached in a mean-square error sense by multichannel Wiener …

[HTML][HTML] Musical-noise-free noise reduction by using biased harmonic regeneration and considering relationship between a priori SNR and sound quality

M Une, R Miyazaki - Applied Acoustics, 2020 - Elsevier
This paper focuses on two representative single-microphone noise reduction problems:
speech distortion and musical noise. Many noise reduction methods have been proposed …

An adaptive a priori SNR estimator for perceptual speech enhancement

L Nahma, PC Yong, HH Dam, S Nordholm - EURASIP Journal on Audio …, 2019 - Springer
In this paper, an adaptive averaging a priori SNR estimation employing critical band
processing is proposed. The proposed method modifies the current decision-directed a …