Identifying accounting control issues from online employee reviews
September 2025
This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control...
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Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss
September 2025
Prediction methods have garnered significant attention in intelligent decision-making. Most existing approaches to predicting crude oil prices prioritize accuracy and stability while providing precise...
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Unveiling the footprints of eXplainable AI in Industry 4.0/5.0: a systematic review and bibliometric exploration
Available online 5 August 2025
Progress in artificial intelligence (AI) is driving transformations that compel an increasing number of companies to embrace the Industry 4.0 and 5.0 paradigms and adopt advanced AI solutions. However,...
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Efficient management of medical image datasets for content-based case retrieval via sparse annotation and bidirectional label propagation
Available online 12 July 2025
Efficient management of medical image datasets is critical for clinical decision-making. However, current methods lack fine-grained annotation management and content-based case retrieval capabilities....
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Enabling innovation with big data analytics capabilities: the moderating role of organizational learning culture
Available online 5 July 2025
Big data analytics (BDA) capabilities for innovation are an area of growing interest; however, empirical results on this pivotal relationship remain inconclusive. This study investigates how BDA capabilities...
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Toward accurate credit evaluation: An efficient imputation approach for financial data
Available online 3 July 2025
Missing instances and mixed data types, including discrete and ordered (e.g., continuous and ordinal) variables, are widespread in many datasets in the finance sector. In this domain, estimating missing...
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Integrative innovation of large language models in industries: technologies, applications, and challenges
Available online 2 July 2025
This paper examines the transformative potential of large language models (LLMs) across diverse industries, emphasizing their ability to enhance natural language processing tasks through pre-training...
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ESG Performance and Executive Compensation Levels: An Empirical Study
Available online 1 July 2025
As global environmental concerns grow, corporate environmental, social, and governance (ESG) performance has become an essential indicator for measuring organizational value and sustainability. Considering...
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Surprisal-based algorithm for detecting anomalies in categorical data
June 2025
Anomaly detection is an important research area in a diverse range of real-world applications. Although many algorithms have been proposed to address anomaly detection for numerical datasets, categorical...
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Does the application of industrial robots reduce the intensity of CO2 emissions embodied in manufacturing exports?
June 2025
Industrial robot application (IRA) provides an opportunity for the low-carbon development of trade. This study focuses on the green revolution of manufacturing export trade, analyzes the mechanism by...
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An explainable feature selection framework for web phishing detection with machine learning
June 2025
In the evolving landscape of cyber threats, phishing attacks pose significant challenges, particularly through deceptive webpages designed to extract sensitive information under the guise of legitimacy....
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Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks
June 2025
In the burgeoning field of anomaly detection within attributed networks, traditional methodologies often encounter the intricacies of network complexity, particularly in capturing nonlinearity and sparsity....
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Understanding users’ effective use of generative conversational AI from a media naturalness perspective: a hybrid structural equation modeling-artificial neural network (SEM-ANN) approach
June 2025
Although generative conversational artificial intelligence (AI) can answer questions well and hold conversations as a person, the semantic ambiguity inherent in text-based communication poses challenges...
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Categorical classification of skin cancer using a weighted ensemble of transfer learning with test time augmentation
June 2025
Skin cancer is the abnormal development of cells on the surface of the skin and is one of the most fatal diseases in humans. It usually appears in locations that are exposed to the sun, but can also...
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Triadic concept analysis for insights extraction from longitudinal studies in health
June 2025
In the health field, longitudinal studies involve the recording of clinical observations of the same sample of patients over successive periods, referred to as waves. This type of database serves as...
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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering
June 2025
This study introduces an advanced recommender system for technology enhanced learning (TEL) that synergizes neural collaborative filtering, sentiment analysis, and an adaptive learning rate to address...
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Challenges and prospects of artificial intelligence in aviation: a bibliometric study
June 2025
The primary motivation for this study is the recent growth and increased interest in artificial intelligence (AI). Despite the widespread recognition of its critical importance, a discernible scientific...
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Factors influencing readiness for artificial intelligence: a systematic literature review
June 2025
Public-and private-sector organizations have adopted artificial intelligence (AI) to meet the challenges of the Fourth Industrial Revolution. The successful implementation of AI is a challenging task,...
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Multilingual opinion mining of imbalanced customer review datasets using GPT and an ensemble hybrid deep learning model
Available online 28 June 2025
This paper introduces stacked deep learning (DL) for multilingual opinion mining. This framework incorporates RoBERTa-GRU, RoBERTa-LSTM, RoBERTa-BiGRU, and RoBERTa-BiLSTM hybrid models, optimized using...
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Effect of digital ecosystem embeddedness on farmers’ entrepreneurial performance: evidence from China
Available online 27 June 2025
Digital ecosystem embeddedness subverts the promotion mechanism of farmers’ entrepreneurial performance; however, related research is scarce. This study constructed a theoretical mechanism model and...
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Novel approach to determine release day by addressing stochastic nature of software fault data
Available online 20 May 2025
Creating software that is free from bugs and errors is challenging. A bug refers to any imperfection or flaw in software that causes it to function incorrectly or unexpectedly. On the other hand, a...
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Artificial Intelligence Dimensions and Design Features for the Knowledge-based Work of the Future: A Socio-Technical Perspective
Available online 16 May 2025
With recent advances in transformative technologies, such as the Internet of Things, cloud computing, and mobile devices, jobs have become more knowledge-based. To implement successful technologies...
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A multi-location inventory system with occasional allocation under uncertain defective rates
Available online 10 May 2025
In this study, a multi-location allocation problem is investigated under a temporary allocation system in light of the uncertain defective rate inherent to items. Based on the theoretical and modeling...
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AI-driven innovation in emerging markets: extending the technology acceptance model–technology-organization-environment framework in small- and medium-sized enterprises
Available online 28 April 2025
This study examined the impact of artificial intelligence (AI) adoption on innovation outcomes in Pakistani manufacturing small- and medium-sized enterprises (SMEs), addressing a critical gap in the...
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Public sentiment analysis of roadway work zones using social media data and machine learning models
Available online 15 April 2025
The construction and maintenance of roadway infrastructure contribute positively to social and economic development and improve traffic safety. However, roadway work zones (WZs) present safety issues...
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