208 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- East China University of Science and TechnologyCN4 papers
- WHU – Otto Beisheim School of ManagementDE4 papers
- Vietnam National University Ho Chi Minh CityVN3 papers
- Hainan UniversityCN2 papers
- IPAG Business SchoolFR2 papers
- Tianjin UniversityCN2 papers
- University of Economics and Law2 papers
- AIT Austrian Institute of Technology GmbHAT1 paper
- Bangladesh University of Engineering and TechnologyBD1 paper
- Çanakkale Onsekiz Mart ÜniversitesiTR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Eastern International UniversityVN1 paper
6 papers · 1 filter
An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN
Uğur Erkan, Abdurrahim Toktas, Serdar Enginoğlu +2
A secure and reliable image encryption scheme is presented in this study. The encryption scheme hereby introduces a novel chaotic log-map, deep convolution neural network (CNN) mod…
Preventing crash in stock market: The role of economic policy uncertainty during COVID-19
Peng-Fei Dai, Xiong Xiong, Zhifeng Liu +2
This paper investigates the impact of economic policy uncertainty (EPU) on the crash risk of US stock market during the COVID-19 pandemic. To this end, we use the GARCH-S (GARCH wi…
The impact of COVID-19 on the stock market crash risk in China
Zhifeng Liu, Toan Luu Duc Huynh, Peng-Fei Dai
This study investigates the impact of the COVID-19 pandemic on the stock market crash risk in China. For this purpose, we first estimated the conditional skewness of the return dis…
The impact of economic policy uncertainties on the volatility of European carbon market
Peng-Fei Dai, Xiong Xiong, Toan Luu Duc Huynh +1
The European Union Emission Trading Scheme is a carbon emission allowance trading system designed by Europe to achieve emission reduction targets. The amount of carbon emission cau…
Global Lorentz gradient estimates for quasilinear equations with measure data for the strongly singular case:
Cong Nhan Le, Xuan Truong Le
In this paper, we study the global regularity estimates in Lorentz spaces for gradients of solutions to quasilinear elliptic equations with measure data of the form \begin{eqnarray…
Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning
Aditya Khamparia, Subrato Bharati, Prajoy Podder +4
Breast cancer is a common cancer for women. Early detection of breast cancer can considerably increase the survival rate of women. This paper mainly focuses on transfer learning pr…