Development of a machine learning model for predicting abnormalities of commercial airplanes
Available online 7 March 2024
Airplanes are a social necessity for movement of humans, goods, and other. They are generally safe modes of transportation; however, incidents and accidents occassionally occur. To prevent aviation...
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Machine acceleration time series prediction for dimensional accuracy of 3D printed parts
Available online 29 February 2024
This study explores the influence of infill patterns on machine acceleration prediction in the realm of three-dimensional (3D) printing, particularly focusing on extrusion technology. Our primary objective...
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Determinants of continuous usage intention of branded apps in omni-channel retail environment: Comparison between experience-oriented and transaction-oriented apps
Available online 16 February 2024
Branded applications (apps) have become core touchpoints for improving consumer shopping experiences in omni-channel retailing, and many firms have developed different types of branded apps to provide...
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Optimizing data aggregation and clustering in internet of things networks using principal component analysis and Q-learning
Available online 10 February 2024
The internet of things (IoT) is a wireless network designed to perform specific tasks and plays a crucial role in various fields such as environmental monitoring, surveillance, and healthcare. To address...
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Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP
Available online 1 February 2024
The All-pairs shortest path problem (ALL-SPP) aims to find the shortest path joining all the vertices in a given graph. This study proposed a new optimal method, Dhouib-matrix-ALL-SPP (DM-ALL-SPP) to...
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Engaging in sports via the metaverse? An examination through analysis of metaverse research trends in sports
Available online 15 January 2024
In sports, virtual spaces are sometimes utilized to enhance performance or user experience. In this study, we conducted a frequency analysis, semantic network analysis, and topic modeling using 134...
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A machine learning approach to formation of earthquake categories using hierarchies of magnitude and consequence to guide emergency management
December 2023
This study deployed k-means clustering to formulate earthquake categories based on magnitude and consequence, using global earthquake data spanning from 1900 to 2021. Based on patterns within the historical...
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Revolutionizing spatial data analysis: unveiling a cutting-edge approach for batch coordinate transformation
December 2023
Spatial data have become indispensable across various disciplines and provide crucial insights. These data are associated with coordinates and different coordinate systems. However, the diversity of...
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Effects of economic factors on median list and selling prices in the U.S. housing market
December 2023
This study investigates the effects of key economic factors on the median list price and median selling price in the U.S. housing market. Key economic factors such as interest rates, unemployment rates,...
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Dual-stage ensemble approach using online knowledge distillation for forecasting carbon emissions in the electric power industry
December 2023
The electric power industry is the key to achieving the goals of carbon peak and neutrality. Accurate forecasting of carbon emissions in the electric power industry can aid in the prompt adjustment...
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Understanding the antecedents of patients’ missed appointments: the perspective of attribution theory
December 2023
The occurrence of missed appointments from online outpatient bookings significantly hinders the operational efficiency of outpatient services. This study aimed to investigate various factors influencing...
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Forecasting stock closing prices with an application to airline company data
December 2023
Forecasting stock market movements is a challenging task from the practitioners’ point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach...
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Joint decision-making of virtual module formation and scheduling considering queuing time
September 2023
Formation and scheduling are the most important decisions in the virtual modular manufacturing system; however, the global performance optimization of the system may be sacrificed via the superposition...
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Explainable prediction of loan default based on machine learning models
September 2023
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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Blockchain and its derived technologies shape the future generation of digital businesses: a focus on decentralized finance and the Metaverse
September 2023
Without a doubt, blockchain, as one of the most valuable technological advancements, has been introduced over the past decade and has played a significant role in the industrial revolution. The emergence...
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The impact of the digital economy on the servitization of industrial structures: the moderating effect of human capital
September 2023
The digital economy, which was born during the late third technological revolution, has caused significant economic and societal changes. Amid sluggish global economic growth, China’s economy is facing...
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Systematic review of data-centric approaches in artificial intelligence and machine learning
September 2023
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart algorithms have been developed to improve the performance of AI-oriented structures. However, model-centric...
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Novel method for ranking batsmen in Indian Premier League
September 2023
Sports analytics have benefited immensely from the growth and popularity of artificial intelligence and machine learning. These techniques enable sports analysts to evaluate player performance more...
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Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis
June 2023
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
June 2023
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
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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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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