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Jasna Soldic-Aleksic, Biljana Chroneos Krasavac, Ema Karamata
Research question: In the last decade, the concept of Business analytics (BA) has gone through revolutionary changes. It has gained a lot in popularity and attracted immense interest both in academic and commercial communities. Accepting this reality, th...
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Chenxi Liu, Zhenghong Peng, Lingbo Liu and Hao Wu
Amid the global shift towards sustainable development, this study addresses the burgeoning electric vehicle (EV) market and its infrastructure challenges, particularly the lag in public charging facility development. Focusing on Wuhan, it utilizes big da...
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Anton Dolhopolov, Arnaud Castelltort and Anne Laurent
Analytical data platforms have been used for decades to improve organizational performance. Starting from the data warehouses used primarily for structured data processing, through the data lakes oriented for raw data storage and post-hoc data analyses, ...
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Hongfeng Sang, Liyi Ma and Nan Ma
A three-dimensional MOOC analysis framework was developed, focusing on platform design, organizational mechanisms, and course construction. This framework aims to investigate the current situation of big data MOOCs in the intelligent era, particularly fr...
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Kwok Tai Chui, Brij B. Gupta, Jiaqi Liu, Varsha Arya, Nadia Nedjah, Ammar Almomani and Priyanka Chaurasia
The smart city vision has driven the rapid development and advancement of interconnected technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this paper, various aspects of IoT and CPS in recent years (from 2013 to May 202...
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Dag Øivind Madsen, Terje Berg and Mario Di Nardo
The emergence of Industry 5.0 took place in the mid-2010s, presenting a novel vision for the future of an industry that places emphasis on human involvement in the production process. Following the outbreak of the COVID-19 pandemic, there has been a subs...
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Shuang Lu, Jianyun Huang and Jing Wu
In the contexts of global climate change and the urbanization process, urban flooding poses significant challenges worldwide, necessitating effective rapid assessments to understand its impacts on various aspects of urban systems. This can be achieved th...
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Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha and Rattanaporn Kasemsri
Machine learning currently holds a vital position in predicting collision severity. Identifying factors associated with heightened risks of injury and fatalities aids in enhancing road safety measures and management. Presently, Thailand faces considerabl...
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Miao Tian, Xinxin Hu, Jiakai Huang, Kai Ma, Haiyan Li, Shuai Zheng, Liufeng Tao and Qinjun Qiu
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service. The dynamic integration and representation of geographic knowledge, such as triples, with ...
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Dmitry Vesnin, Dmitry Levshun and Andrey Chechulin
The origin of the trademark similarity analysis problem lies within the legal area, specifically the protection of intellectual property. One of the possible technical solutions for this issue is the trademark similarity evaluation pipeline based on the ...
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