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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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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Digital volunteer services in emergency situations: typological characteristics, advantages, and challenges
March 2025
Volunteer engagement in emergency management, focusing on mitigating adverse consequences, has attracted scholarly and practitioner attention. Digital volunteering helps overcome the limitations of...
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Design of knowledge transaction protection mechanism in the open innovation community based on blockchain technology
March 2025
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...
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Effects of feature selection and normalization on network intrusion detection
March 2025
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...
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Value realization of intelligent emergency management: research framework from technology enabling to value creation
March 2025
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)...
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Dual-market quantitative trading: the dynamics of liquidity and turnover in financial markets
March 2025
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...
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Forecast uncertainties real-time data-driven compensation scheme for optimal storage control
March 2025
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....
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Comparative study of IoT- and AI-based computing disease detection approaches
March 2025
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....
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Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain
March 2025
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...
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A model for predicting dropout of higher education students
March 2025
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...
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Enhancing cyber threat detection with an improved artificial neural network model
March 2025
Identifying cyberattacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability...
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Enhancing imbalanced text classification: an overlap-based refinement approach
Available online 15 March 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...
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Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion detection
Available online 28 February 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...
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Prediction of retail commodity hot-spots: a machine learning approach
Available online 18 February 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...
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