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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Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction
September 2025
Accelerating urbanization and the rapid development of intelligent transportation systems have rendered short-term traffic flow prediction an important research field. Accurate prediction of traffic...
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Public data openness and stock price crash risk: evidence from a quasi-natural experiment of government data platforms
September 2025
Public data serves as a fundamental pillar in the advancement of the digital economy. Its importance for unlocking the value associated with information asymmetry has attracted substantial attention...
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Exploration of salience theory to deep learning: evidence from Chinese new energy market high-frequency trading
September 2025
Salience theory has been proposed as a new stock trading strategy. To assess the validity of this proposal, a complex decision trading system was constructed based on salience theory, a variational...
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Understanding user’s identifiability on social media: a supervised machine learning and self-reporting investigation
September 2025
The identifiability of users as they interact in the digital world is fundamentally linked to privacy and security issues. Identifiability can be divided into two: subjective identifiability, which...
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The effect of green mergers and acquisitions on the green transformation of heavily polluting enterprises: empirical evidence from China
September 2025
Against the backdrop of increasingly prominent global environmental issues, heavily polluting enterprises (HPPs) urgently need to find a path to green transformation that achieves sustainable development...
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L2R-MLP: a multilabel classification scheme for the detection of DNS tunneling
September 2025
Domain name system (DNS) tunneling attacks can bypass firewalls, which typically “trust” DNS transmissions by concealing malicious traffic in the packets trusted to convey legitimate ones, thereby making...
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Cross-Domain Aspect Term Extraction Using Pre-trained Language Models with Pre-training and Fine-Tuning Strategy
Available online 22 August 2025
As an important subtask of fine-grained sentiment analysis (SA), aspect term extraction (ATE) aims to identify aspect terms within user-generated comments. ATE-supervised learning approaches are based...
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Deep Learning in Financial Fraud Detection: Innovations, Challenges, and Applications
Available online 20 August 2025
This study presents a systematic review of 108 peer-reviewed publications (2019–2024) on the application of deep learning (DL) to financial fraud detection. It examines advances in model architectures,...
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Data clustering: a fundamental method in data science and management
Available online 12 August 2025
This study investigates the pivotal role of data clustering in both data science and management, focusing on core methodologies, tools, and diverse applications. It examines traditional clustering techniques...
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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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