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Lars Lundberg, Martin Boldt, Anton Borg and Håkan Grahn
We present a method, including tool support, for bibliometric mining of trends in large and dynamic research areas. The method is applied to the machine learning research area for the years 2013 to 2022. A total number of 398,782 documents from Scopus we...
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Xie He, Arash Habibi Lashkari, Nikhill Vombatkere and Dilli Prasad Sharma
Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection...
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Frank Ato Ghansah and David John Edwards
Despite the growing rich and fragmented literature focusing on quality assurance (QA) and Industry 4.0, the implementation of associated individual digital technologies has not been fully evaluated and synthesised to achieve adequate QA in the constructi...
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Gilbert Hinge, Mohamed A. Hamouda and Mohamed M. Mohamed
In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, ...
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Marianna Kalogeraki and Fani Antoniou
In the Architecture, Engineering and Construction (AEC) industry claims arise frequently, often resulting in disputes. Claim management should be efficient to prevent claims from escalating into disputes, and if disputes are still unavoidable, they shoul...
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Sarah A. Chauncey and H. Patricia McKenna
The purpose of this study is to advance conceptual understandings of the cognitive flexibility construct, in support of creativity and innovation in smart city civic spaces, employing the use of large language model artificial intelligence chatbots such ...
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Masaki Hosomi, Saddam Khalid and Tomoki Sekiguchi
This research aimed to investigate Japanese university students? entrepreneurial development processes using the happenstance learning theory. The current research was an empirical study investigating the role of risk propensity, lifetime employment orie...
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Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ...
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Xiaohui Yan, Tianqi Zhang, Wenying Du, Qingjia Meng, Xinghan Xu and Xiang Zhao
Water quality prediction, a well-established field with broad implications across various sectors, is thoroughly examined in this comprehensive review. Through an exhaustive analysis of over 170 studies conducted in the last five years, we focus on the a...
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Yuxin Deng, Zijie Zeng, Weiying Feng, Jing Liu and Fang Yang
The risks brought by microplastics (MPs) to agricultural soil structure and crop growth in the agricultural system are the focus of global debate. MPs enter the soil through various routes, such as through the use of agricultural mulch and atmospheric de...
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