Time series clustering of COVID-19 pandemic-related data
June 2023
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
June 2023
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
June 2023
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
June 2023
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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Application of support vector machine algorithm for early differential diagnosis of prostate cancer
March 2023
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
March 2023
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
March 2023
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
March 2023
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
March 2023
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
March 2023
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
December 2022
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
December 2022
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
December 2022
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
December 2022
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
December 2022
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
December 2022
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
September 2022
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
September 2022
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
September 2022
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
September 2022
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
September 2022
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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Pearson correlation and transfer entropy in the Chinese stock market with time delay
September 2022
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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A combined forecasting method for intermittent demand using the automotive aftermarket data
June 2022
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
June 2022
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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Research on value co-creation elements in full-scene intelligent service
June 2022
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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