Unveiling the footprints of explainable AI in Industry 4.0/5.0: a systematic review and bibliometric exploration
March 2026
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,...
Data clustering: a fundamental method in data science and management
March 2026
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...
Cross-domain aspect term extraction using pre-trained language models with pre-training and fine-tuning strategy
March 2026
As an important subtask of fine-grained sentiment analysis, aspect term extraction (ATE) aims to identify aspect terms within user-generated comments. ATE supervised learning approaches are heavily...
Impact of China's outward foreign direct investment on the Belt and Road Initiative countries' digital economy and energy transition
March 2026
Digital economy (DE) is on the verge of becoming a pivotal facilitator of the energy transition (ET). However, it remains to be seen to what extent China's outward foreign direct investment (OFDI) can...
A multi-location inventory system with occasional allocation under uncertain defective rates
March 2026
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...
Effect of digital ecosystem embeddedness on farmers’ entrepreneurial performance: evidence from China
March 2026
Digital ecosystem embeddedness subverts the promotion mechanism of farmers’ entrepreneurial performance; however, related research is scarce. This study constructed a theoretical mechanism model and...
Artificial intelligence dimensions and design features for the knowledge-based work of the future: a socio-technical perspective
March 2026
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...
Integrative innovation of large language models in industries: technologies, applications, and challenges
March 2026
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...
Multilingual opinion mining of imbalanced customer review datasets using GPT and ensemble hybrid deep learning model
March 2026
This study introduces stacked deep learning for multilingual opinion mining. This framework incorporates RoBERTa-GRU, RoBERTa-LSTM, RoBERTa-BiGRU, and RoBERTa-BiLSTM hybrid models, optimized using the...
Systematic Review on the Influence of Classical and Quantum Machine Learning in the Financial Sector
Available online 13 January 2026
In the financial sector, machine learning (ML) has emerged as a transformative technology that provides sophisticated solutions to critical challenges, such as in fraud detection, anti-money laundering,...
ESG performance and executive compensation levels: an empirical study
December 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...
DeepSeek: implications for data science and management in the AI era
December 2025
DeepSeek has emerged as a disruptive force in artificial intelligence (AI). Unlike traditional large language models (LLMs), which demand extensive computational resources, DeepSeek delivers comparable...
Prediction of retail commodity hot-spots: a machine learning approach
December 2025
The accurate prediction of hot-spot commodities in the retail market is crucial for inventory management and market strategy formulation. Traditional methods focus on analyzing the sales trends of listed...
Counterfactual synthetic minority oversampling technique: solving healthcare's imbalanced learning challenge
December 2025
The application of machine learning in the healthcare domain has groundbreaking potential across a wide range of scenarios. However, this potential is often stalled by data-related challenges, such...
Automatic method for identification of cycles in COVID-19 time-series data
December 2025
All previous methods identify cycles in COVID-19 daily and weekly data based on a subjective interpretation of the results. This poses difficulties for researchers interested in conducting comprehensive...
Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion detection
December 2025
The exponential escalation of cyber threats and attacks targeting Internet of Things (IoT) devices in this decade necessitates the development of effective intrusion detection methods. This paper presents...
Public sentiment analysis of roadway work zones using social media data and machine learning models
December 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...
Enhancing imbalanced text classification: an overlap-based refinement approach
December 2025
The inherent class imbalance within textual data poses a significant challenge for machine learning-based techniques, as the available data often fails to adequately represent all classes. This scarcity...
AI-driven innovation in emerging markets: extending the technology acceptance model-technology-organization-environment framework in small- and medium-sized enterprises
December 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...
Climate physical risks: catalyst or constraint for the convergence of the digital and low-carbon economies?
December 2025
The digital economy and the low-carbon economy are crucial catalysts of global economic change and sustainable development. This research focuses on China and thoroughly examines the coupling and coordination...
Unlocking the power of machine learning in big data: a scoping survey
December 2025
Machine learning (ML) plays a crucial role in big data (BD) by serving as the cornerstone of efficient data processing and analysis. In particular, ML provides BD with the ability to extract valuable...
Toward accurate credit evaluation: an efficient imputation approach for financial data
September 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...
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...