Results 21 to 30 of about 28,232,158 (243)

COVID-19, stock market and sectoral contagion in US: a time-frequency analysis

Research In International Business and Finance, 2021
Graphical ...
P. Matos, Antonio Costa, Cristiano da Silva   +2 more
semanticscholar   +1 more source

Enhancing direct‐path relative transfer function using deep neural network for robust sound source localization

CAAI Transactions on Intelligence Technology, 2022
This article proposes a deep neural network (DNN)‐based direct‐path relative transfer function (DP‐RTF) enhancement method for robust direction of arrival (DOA) estimation in noisy and reverberant environments.
Bing Yang, Runwei Ding, Yutong Ban, Xiaofei Li, Hong Liu   +4 more
doaj   +1 more source

Gait event detection algorithm based on smart insoles

ETRI Journal, 2019
Gait analysis is an effective clinical tool across a wide range of applications. Recently, inertial measurement units have been extensively utilized for gait analysis.
JeongKyun Kim, Myung‐Nam Bae, Kang Bok Lee, Sang Gi Hong   +3 more
doaj   +1 more source

Ensemble convolutional neural networks for automatic fusion recognition of multi‐platform radar emitters

ETRI Journal, 2019
Presently, the extraction of hand‐crafted features is still the dominant method in radar emitter recognition. To solve the complicated problems of selection and updation of empirical features, we present a novel automatic feature extraction structure ...
Zhiwen Zhou, Gaoming Huang, Xuebao Wang
doaj   +1 more source

A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets

Journal of Behavioral and Experimental Finance, 2020
We apply wavelet analyses to examine the impact of the Covid-19 fueled panic on the volatility of major fiat and cryptocurrency markets during January–May, 2020.
Zaghum Umar, Mariya Gubareva
semanticscholar   +1 more source

Feature Extraction Methods for Electroretinogram Signal Analysis: A Review

IEEE Access, 2021
Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The extracted features are beneficial to analyze the signal further and compress the signal for storage or transmission purposes.
Soroor Behbahani, Hamid Ahmadieh, Sreeraman Rajan   +2 more
doaj   +1 more source

Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network

IEEE Access, 2020
Due to the advantage of automatically extracting features from raw data, deep learning (DL) has been increasingly favored in the field of machine fault diagnosis. However, DL exposes the problems of large sample size and long training time, and in actual
Zhihao Chen, Jian Cen, Jianbin Xiong
semanticscholar   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

ELoran signal message prediction algorithm based on Alexnet‐ECA

IET Radar, Sonar & Navigation
Enhanced Loran (eLoran) is the most important backup system for Global Navigation Satellite System (GNSS). However, most current eLoran demodulation methods are based on digital signal processing, which may produce large errors under the influence of ...
Kai Zhang, Fan Yang, Weidong Wang, Xiaotao Ye   +3 more
doaj   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source