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From time series to networks in R with the ts2net package
Network science established itself as a prominent tool for modeling time series and complex systems. This modeling process consists of transforming a...
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Towards a generic agent-based vector-host model: effects of carrying capacity and host mobility
The aim of our work is to develop a generic conceptual agent-based model to formalize the interaction of vector and host given climate change. The...
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Analyzing breast cancer comorbidities: a network approach using community detection algorithms
Breast cancer is a prominent global health concern, as the data from the International Agency for Research on Cancer (IARC) shows that breast cancer...
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The mediating role of mobile learning motivation in the relationship between pre-service teachers’ digital literacy and pre-service teacher identity
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher...
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Bias Correction in the Least-Squares Monte Carlo Algorithm
This paper addresses the issue of foresight bias in the Longstaff and Schwartz (Rev Financ Stud 14(1):113–147, 2001) algorithm for American option...
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Modelling Mixed-Frequency Time Series with Structural Change
Predictive ability of time series models is easily compromised in the presence of structural breaks, common among financial and economic variables...
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Comparison of the Performance of Structural Break Tests in Stationary and Nonstationary Series: A New Bootstrap Algorithm
Structural breaks are considered as permanent changes in the series mainly because of shocks, policy changes, and global crises. Hence, making...
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Enhancing Stock Market Prediction Using Gradient Boosting Neural Network: A Hybrid Approach
This paper introduces an innovative paradigm in cryptocurrency market analysis and prediction by exploiting the potency of the gradient boosting...
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A Generalized Hyperbolic Distance Function for Benchmarking Performance: Estimation and Inference
This paper describes a new multiplicative, generalized hyperbolic distance function (GHDF) that allows the researcher to measure technical efficiency...
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Experimental guidance and feedback via operation intention prediction with effect analysis in chemistry labs
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance...
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Applications of deep learning method of artificial intelligence in education
Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be...
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DyHANE: dynamic heterogeneous attributed network embedding through experience node replay
With real-world network systems typically comprising a large number of interactive components and inherently dynamic, Graph Continual Learning (GCL)...
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Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph
This paper proposes a machine learning framework that incorporates mutual fund managers’ portfolio decisions to predict stock price movements. It...
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Breaking boundaries: Enhancing dance learning through virtual reality innovation
Virtual Reality technology (VRT) has rapidly evolved in recent years, revolutionizing various industries by providing immersive and interactive...
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An intelligent system for providing academic advising and its impact on satisfaction and stress relief in the light of crises (COVID-19) among postgraduate students
This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine...
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Factors that predict teachers’ intentions to utilize emerging technologies: An investigation using PLS-SEM
Emerging technologies in education, such as wearable devices, tangible user interfaces, virtual reality, augmented reality, and robotics can support...
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Impact of question presence and interactivity in instructional videos on student learning
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through...
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Promoting students’ civic literacy and positive learning behaviors: A supportive feedback-based decision-making gaming approach
Enhancing students’ civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to...
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Downscaling spatial interaction with socioeconomic attributes
A variety of complex socioeconomic phenomena, for example, migration, commuting, and trade can be abstracted by spatial interaction networks, where...
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ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI)...
