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ISSN: 2666-7649
e-ISSN: 2666-7649

Development of a risk index for cross-border data movement

Cross-border data transmission in the biomedical area is on the rise, which brings potential risks and management challenges to data security, biosafety, and national security. Focusing on cross-border...

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Analysis of commodity traceability service effects on the purchase behavior of consumers using an evolutionary game model

Blockchain-based commodity traceability is an emerging technology developed in recent years; it plays a vital role in monitoring product quality and responding to product safety problems. Considering...

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Pearson correlation and transfer entropy in the Chinese stock market with time delay

Correlations between two time series, including the linear Pearson correlation and the nonlinear transfer entropy, have attracted significant attention. In this work, we studied the correlations between...

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Assessing spread risk of COVID-19 within and beyond China in early 2020

A novel coronavirus emerged in Wuhan in late 2019 and has caused the COVID-19 pandemic announced by the World Health Organization on March 12, 2020. This study was originally conducted in January 2020...

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Effective arithmetic optimization algorithm with probabilistic search strategy for function optimization problems

This work proposes an enhanced arithmetic optimization algorithm (AOA) called PSAOA that incorporates the proposed probabilistic search strategy to increase the searching quality of the original AOA....

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A hybrid differential evolution algorithm for a stochastic location-inventory-delivery problem with joint replenishment

A practical stochastic location-inventory-delivery problem with multi-item joint replenishment is studied. Unlike the conventional location-inventory model with a continuous-review (r, Q) inventory...

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Monitoring machine learning models: A categorization of challenges and methods

The importance of software based on machine learning is growing rapidly, but the potential of prototypes may not be realized in operation. This study identified six categories of challenges for verification...

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Novel time slicing approach for customer defection models in e-commerce: A case study

In this study, we examine the problem of predicting customer defection in a noncontractual setting. Motivated by recent work on machine learning using multiple time slices, we develop a novel training...

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Forecasting hourly retail customer flow on intermittent time series with multiple seasonality

In this study, we address a demanding time series forecasting problem that deals simultaneously with the following: (1) intermittent time series, (2) multi-step ahead forecasting, (3) time series with...

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A combined forecasting method for intermittent demand using the automotive aftermarket data

Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises....

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Effect of data resampling on feature importance in imbalanced blockchain data: comparison studies of resampling techniques

Cryptocurrency blockchain data encounter a class-imbalance problem due to only a few known labels of illicit or fraudulent activities in the blockchain network. For this purpose, we seek to compare...

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Feature extraction of search product based on multi-feature fusion-oriented to Chinese online reviews

The increasing Chinese online reviews contain rich product demand information, especially for search products. This study suggests a product feature extraction model from online reviews based on multi-feature...

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Research on value co-creation elements in full-scene intelligent service

Compared with common intelligent service, full-scene intelligent service has its uniqueness in high integration, synergy, and technological spillover. However, the traditional service or business model...

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New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight

Accurate forecasting results are crucial for increasing energy efficiency and lowering energy consumption in wind energy. Big data and artificial intelligence (AI) have great potential in wind energy...

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A novel self-learning approach to overcome incompatibility on TripAdvisor reviews

Among social media networks, TripAdvisor acts as the main role because everyone is eager to share and review their thoughts on their travel experiences in different destinations. Sentiment analysis...

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Building patients’ trust in psychologists in online mental health communities

Sufferers’ mental illnesses experience changes in communication, cognition, and behavior, exposing differences in social behavior and relationships. Many who suffer from mental health problems notice...

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Examining urban-rural differences in the impact of Internet use on older adults’ depression: evidence from China

Both Internet use’s impact on depression and urban-rural disparities related to information and communication technologies (ICTs) are crucial topics in the information systems discipline. So far, limited...

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Blockchain-based reporting protocols as a collective monitoring mechanism in DAOs

As a recent decentralized business model, Distributed Autonomous Organization (DAO) challenges the management paradigms of conventional organizations and represents the future of democracy-based systems....

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MCDA techniques used in optimization of weights and ratings of DRASTIC model for groundwater vulnerability assessment

DRASTIC is a very simple and common model used for the assessment of groundwater to contamination. This model is widely used across the world in various hydrogeological environments for groundwater...

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Tourism demand forecasting and tourists’ search behavior: evidence from segmented Baidu search volume

Given the importance of web search volume for reflecting tourists' preferences for certain tourism services and destinations, incorporating these data into forecasting models can significantly improve...

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Application of intelligence-based computational techniques for classification and early differential diagnosis of COVID-19 disease

Clinical methods are used for diagnosing COVID-19 infected patients, but reports posit that, several people who were initially tested positive of COVID-19, and who had some underlying diseases, turned...

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Machine learning-based approach: global trends, research directions, and regulatory standpoints

The field of machine learning (ML) is sufficiently young that it is still expanding at an accelerating pace, lying at the crossroads of computer science and statistics, and at the core of artificial...

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Popular cryptoassets (Bitcoin, Ethereum, and Dogecoin), Gold, and their relationships: volatility and correlation modeling

Cryptoassets have experienced dramatic volatility in their prices, especially during the COVID-19 pandemic era. This pilot study explores the volatility asymmetry and correlations among three popular...

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Recommendation system with minimized transaction data

This paper deals with the recommendation system in the so-called user-centric payment environment where users, i.e., the payers, can make payments without providing self-information to merchants. This...

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Comparative study of three stochastic future weather forecast approaches: a case study

Weather forecasting is an essential component of different hydrological studies. This article compares the weather prediction performance of various machine learning models like k-nearest neighbours...

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