Recent Articles

Open access

ISSN: 2666-7649
CN: 61-1530/TN
p-ISSN: 2097-3187

Challenges and prospects of artificial intelligence in aviation: a ​bibliometric study

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...

Share article

Factors influencing readiness for artificial intelligence: a systematic literature review

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,...

Share article

Multilingual opinion mining of imbalanced customer review datasets using GPT and an ensemble hybrid deep learning model

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...

Share article

Effect of digital ecosystem embeddedness on farmers’ entrepreneurial performance: evidence from China

Digital ecosystem embeddedness subverts the promotion mechanism of farmers’ entrepreneurial performance; however, related research is scarce. This study constructed a theoretical mechanism model and...

Share article

Novel approach to determine release day by addressing stochastic nature of software fault data

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...

Share article

Artificial Intelligence Dimensions and Design Features for the Knowledge-based Work of the Future: A Socio-Technical Perspective

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...

Share article

A multi-location inventory system with occasional allocation under uncertain defective rates

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...

Share article

AI-driven innovation in emerging markets: extending the technology acceptance model–technology-organization-environment framework in small- and medium-sized enterprises

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...

Share article

Public sentiment analysis of roadway work zones using social media data and machine learning models

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...

Share article

Digital volunteer services in emergency situations: typological characteristics, advantages, and challenges

Volunteer engagement in emergency management, focusing on mitigating adverse consequences, has attracted scholarly and practitioner attention. Digital volunteering helps overcome the limitations of...

Share article

Design of knowledge transaction protection mechanism in the open innovation community based on blockchain technology

Open innovation communities (OICs) are important for the development of modern enterprises. However, there are still many safety hazards and trust crises on community platforms. This paper proposes...

Share article

Effects of feature selection and normalization on network intrusion detection

The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning...

Share article

Value realization of intelligent emergency management: research framework from technology enabling to value creation

This study investigated the application and the application value of intelligent emergency in emergency management in the big data environment. It addresses the neglect of the application value (performance)...

Share article

Dual-market quantitative trading: the dynamics of liquidity and turnover in financial markets

Financial market liquidity is a popular research topic. Investor-driven research uses the turnover rate to measure liquidity and generally finds that the higher the stock turnover rate, the lower the...

Share article

Forecast uncertainties real-time data-driven compensation scheme for optimal storage control

This study introduces a real-time data-driven battery management scheme designed to address uncertainties in load and generation forecasts, which are integral to an optimal energy storage control system....

Share article

Comparative study of IoT- and AI-based computing disease detection approaches

The emergence of different computing methods such as cloud-, fog-, and edge-based Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems for disease detection....

Share article

Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain

In the metaverse, digital assets are essential to define identity, shape the virtual environment, and facilitate economic transactions. This study introduces a novel feature to the metaverse by capturing...

Share article

A model for predicting dropout of higher education students

Higher education institutions are becoming increasingly concerned with the retention of their students. This work is motivated by the interest in predicting and reducing student dropout, and consequently...

Share article

Enhancing cyber threat detection with an improved artificial neural network model

Identifying cyberattacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability...

Share article

Enhancing imbalanced text classification: an overlap-based refinement approach

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...

Share article

Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion detection

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...

Share article

Prediction of retail commodity hot-spots: a machine learning approach

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...

Share article

Automatic method for identification of cycles in Covid-19 time-series data

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...

Share article

Unlocking the power of machine learning in big data: a scoping survey

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...

Share article

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.