Abdulaziz Almalaq, Saleh Albadran, Mohamed A. Mohamed
The authors wish to make the following corrections to this paper [...]
Qiyi He, Xiaolin Meng, Rong Qu, Ruijie Xi
Connected and Autonomous Vehicle (CAV)-related initiatives have become some of the fastest expanding in recent years, and have started to affect the daily lives of people. More and more companies and research organizations have announced their initiatives, and some have started C…
Heesang Eom, Younghun Kim, Jongho Paik
This paper presents a digital twin-based river management and flood prediction system designed for hydrological environments, including volcanic geology. To address the problems of rapid runoff and complex terrain, a deep learning-based hybrid model is proposed that integrates a…
Yang Shen, Deyi Li, Wenbo Wang, Xu Dong
Continuous glucose monitoring data have strong time variability as well as complex non-stationarity and nonlinearity. The existing blood glucose concentration prediction models often overlook the impacts of residual components after multi-scale decomposition on prediction accurac…
Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan, Pedram Ghamisi, Ferdinand Filip, Shahab Band, et al.
This paper provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is performed on the novel data science methods in four individual classes of deep learning models, hybrid deep learning models…
Slavi Georgiev, Maya Markova, Vesela Mihova, Venelin Todorov
As digital payment infrastructures expand, the incidence of card-not-present fraud has become a major source of operational and financial risk for banks, payment processors, and merchants. In response, financial institutions increasingly rely on data-driven decision systems, yet…
Oyebayo Ridwan Olaniran, Saheed Ajibade Kunle, Ali Rashash R. Alzahrani, Mohammed H. Alharbi, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani
Longitudinal data, characterized by repeated measurements on the same subjects over time, are ubiquitous in biomedical sciences, economics, social sciences, and engineering. Analyzing such data presents unique statistical and computational challenges, including within-subject cor…