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...
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...
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...
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...
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...
The impact of mHealth apps’ affordance on consumers’ novel food purchasing decisions
September 2025
Mobile health apps (MHAs) provide users with exercise support and dietary recommendations. They also suggest a wide range of novel foods. However, some users may face food neophobia, a reluctance to...
Effective and efficient handling of missing data in supervised machine learning
September 2025
The prevailing consensus in statistical literature is that multiple imputation is generally the most suitable method for addressing missing data in statistical analyses, whereas a complete case analysis...
Electroencephalogram-based emotion recognition: a comparative analysis of supervised machine learning algorithms
September 2025
Emotion recognition from electroencephalogram (EEG) signals has garnered significant attention owing to its potential applications in affective computing, human-computer interaction, and mental health...
Meta-model-based optimization of rule-based energy management in second-hand plug-in hybrid electric vehicles
September 2025
This study presents a methodology to enhance energy management systems (EMS) in hybrid electric vehicles (HEVs) to reduce fuel consumption and greenhouse gas emissions. A novel surrogate-assisted optimization...
Suspiciousness of social media accounts: examining the role of conversational consistency using machine learning approach
Available online 27 September 2025
The proliferation of social media platforms has led to an upsurge in suspicious accounts that spread misinformation and manipulate public opinion. A few of these accounts with significant followings...
NLP-driven customer segmentation: A comprehensive review of methods and applications in personalized marketing
Available online 19 September 2025
In an era of digital interactions and data proliferation, understanding customer behavior and preferences has become crucial for businesses that aim to enhance brand loyalty and optimize marketing strategies....
Integrating lean management and emerging technologies for enhanced sustainable performance: empirical evidence based on double machine learning approach
Available online 5 September 2025
The rapid increase in sustainability has pushed manufacturing firms to rethink their production systems to make them more efficient, produce less waste, and improve their working conditions. In this...
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...
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,...
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...
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,...
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....
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...
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...
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...
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....
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...
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...
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,...