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

Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis

This study examines paper-level metrics in the literature on topics related to environmental, social and governance (ESG) to provide a research agenda for hotspots and trends. Based on 755 papers on...

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A trajectory data warehouse solution for workforce management decision-making

In modern workforce management, the demand for new ways to maximize worker satisfaction, productivity, and security levels is endless. Workforce movement data such as those source data from an access...

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Time series clustering of COVID-19 pandemic-related data

The COVID-19 pandemic continues to impact daily life worldwide. It would be helpful and valuable if we could obtain valid information from the COVID-19 pandemic sequential data itself for characterizing...

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Challenges, opportunities, and advances related to COVID-19 classification based on deep learning

The novel coronavirus disease, or COVID-19, is a hazardous disease. It is endangering the lives of many people living in more than two hundred countries. It directly affects the lungs. In general, two...

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Cross-border issues and technology and management solutions during COVID-19

Critical cross-border issues have emerged during the COVID-19 pandemic, especially pertaining to security, supply chain, and education, which has led to several new challenges for management. The balance...

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Network science approach for identifying disruptive elements of an airline

Currently, flight delays are common and they propagate from an originating flight to connecting flights, leading to large disruptions in the overall schedule. These disruptions cause massive economic...

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Explainable prediction of loan default based on machine learning models

Owing to the convenience of online loans, an increasing number of people are borrowing money on online platforms. With the emergence of machine learning technology, predicting loan defaults has become...

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Joint decision-making of virtual module formation and scheduling considering queuing time

Formation and scheduling are the most important decisions in the virtual modular manufacturing system, but the global performance optimization of the system may be sacrificed via the superposition of...

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Application of support vector machine algorithm for early differential diagnosis of prostate cancer

Prostate cancer (PCa) symptoms are commonly confused with benign prostate hyperplasia (BPH), particularly in the early stages due to similarities between symptoms, and in some instances, underdiagnoses....

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The influence of e-commerce live streaming affordance on consumer’s gift-giving and purchase intention

In e-commerce live streaming, sellers choose the most suitable streamers to endorse their products. The streamer introduces the main functions of the goods, organizes marketing activities, improves...

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Cross-border electronic commerce’s new path: from literature review to AI text generation

Digitization, informatization, and Internet penetration have led to a significant rise in cross-border e-commerce (CBEC), attracting considerable interest from academia, government, and industry. This...

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Comparison of administrative and regulatory green technologies development between China and the U.S. based on patent analysis

With the increasing importance of computer intelligence in the new round of the industrial revolution, administrative, regulatory, or design (ARD) green technology contributes to improving national...

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Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms

Accurate predictions of hourly PM2.5 concentrations are crucial for preventing the harmful effects of air pollution. In this study, a new decomposition-ensemble framework incorporating the variational...

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Two-phase tabu search algorithm for solving Chinese high school timetabling problems under the new college entrance examination reform

Upon the latest reform to the college entrance examination in China (i.e., Gaokao), high schools began implementing an optional class system. Under this scheme, students’ time slots become complex,...

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

This paper 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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Assessing spread risk of COVID-19 in early 2020

A novel coronavirus emerged in late 2019, named as the coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). This study was originally conducted in January 2020 to estimate the...

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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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China futures price forecasting based on online search and information transfer

The synchronicity effect between the financial market and online response for time-series forecasting is an important task with wide applications. This study combines data from the Baidu index (BDI),...

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ACR-MLM: a privacy-preserving framework for anonymous and confidential rewarding in blockchain-based multi-level marketing

Network marketing is a trading technique that provides companies with the opportunity to increase sales. With the increasing number of Internet-based purchases, several threats are increasingly observed...

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A new prediction NN framework design for individual stock based on the industry environment

There is a research gap in accurately predicting an individual stock’s finances from industry environment factors. Therefore, to predict trading strategies for a target stock’s closing price, this study...

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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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Long-term forecasting of 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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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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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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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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