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Xuehua Han and Juanle Wang
Public behavior in cyberspace is extremely sensitive to emergency disaster events. Using appropriate methodologies to capture the semantic evolution of social media users? behaviors and discover how it varies across geographic space and time still presen...
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Giorgio Gronchi, Marco Raglianti and Fabio Giovannelli
As part of studies that employ health electronic records databases, this paper advocates the employment of graph theory for investigating drug-switching behaviors. Unlike the shared approach in this field (comparing groups that have switched with control...
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XinLong Zhang, Zhuang Lin, Simone Mancini, Ping Li, Ze Li and Fei Liu
A detailed description of the flooding process is crucial to analyze the complex hydrodynamic behaviors and enhance the survivability of the damaged ship. In this paper, through establishing three typical damage scenarios with various locations, the comm...
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David GRIOL,Jose Manuel MOLINA
Pág. 59 - 69
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Yimin Lum and Chen-Wei Chang
The rapid development of mobile Internet technology has brought about the flourishing growth of social media live streaming. This study employs social presence theory as the primary framework to investigate the impact of Facebook Live?s features of socia...
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Andreas Kanavos, Ioannis Karamitsos and Alaa Mohasseb
Social media platforms have revolutionized information exchange and socialization in today?s world. Twitter, as one of the prominent platforms, enables users to connect with others and express their opinions. This study focuses on analyzing user engageme...
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Yu Mao, Yuxuan Cheng and Chunyu Shi
In the field of job recruitment, a classic recommendation system consists of users, positions, and user ratings on positions. Its key task is to predict the unknown rating data of users on positions and then recommend positions that users are interested ...
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Joel R. Bock and Akhilesh Maewal
Product recommendation can be considered as a problem in data fusion?estimation of the joint distribution between individuals, their behaviors, and goods or services of interest. This work proposes a conditional, coupled generative adversarial network (R...
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Zihang Xu and Chiawei Chu
Ensuring the sustainability of transportation infrastructure for electric vehicles (e-trans) is increasingly imperative in the pursuit of decarbonization goals and addressing the pressing energy shortage. By prioritizing the development and maintenance o...
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Donyaprueth Krairit
Pág. 11 - 13
Thailand is experiencing the unforeseen growth in Internet penetration like in many developing countries. Internet users are eager to go online and try our new applications. In order to understand the whole picture of the market, it is important for one ...
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Xiaochen Zhang, Ziyang Song, Qianbo Huang, Ziyi Pan, Wujing Li, Ruining Gong and Bi Zhao
As automated driving system (ADS) technology is adopted in wheelchairs, clarity on the vehicle?s imminent path becomes essential for both users and pedestrians. For users, understanding the imminent path helps mitigate anxiety and facilitates real-time a...
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Antoine Falconnet, Constantinos K. Coursaris, Joerg Beringer, Wietske Van Osch, Sylvain Sénécal and Pierre-Majorique Léger
Advice-giving systems such as decision support systems and recommender systems (RS) utilize algorithms to provide users with decision support by generating ?advice? ranging from tailored alerts for situational exception events to product recommendations ...
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Pierstefano Bellani, Andrea Picardi, Federica Caruso, Flora Gaetani, Fausto Brevi, Venanzio Arquilla and Giandomenico Caruso
With the rapid advancement of autonomous vehicles, a transformative transportation paradigm is emerging in the automotive industry, necessitating a re-evaluation of how users engage with and utilize these evolving settings. This research paper introduces...
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Chin-Yi Chen and Jih-Jeng Huang
Traditional movie recommendation systems are increasingly falling short in the contemporary landscape of abundant information and evolving user behaviors. This study introduced the temporal knowledge graph recommender system (TKGRS), a ground-breaking al...
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Sook-Ling Chua, Lee Kien Foo and Hans W. Guesgen
The smart home has begun playing an important role in supporting independent living by monitoring the activities of daily living, typically for the elderly who live alone. Activity recognition in smart homes has been studied by many researchers with much...
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Jun Long, Yulou Wang, Xinpan Yuan, Ting Li and Qunfeng Liu
This paper proposed a recommendation model called RM-SA, which is based on multi-emotional analysis in networks. In the RM-MES scheme, the recommendation values of goods are primarily derived from the probabilities calculated by a similar existing recomm...
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Alvaro Parres-Peredo, Ivan Piza-Davila and Francisco Cervantes
Anomaly-based intrusion detection systems use profiles to characterize expected behavior of network users. Most of these systems characterize the entire network traffic within a single profile. This work proposes a user-level anomaly-based intrusion dete...
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Sumet Darapisut, Komate Amphawan, Nutthanon Leelathakul and Sunisa Rimcharoen
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user?s geographic location and contextual factors such as time, personal preference, and location categories. However, ...
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Chong Lan, Yongsheng Wang, Chengze Wang, Shirong Song and Zheng Gong
Traditional 3D animation creation involves a process of motion acquisition, dubbing, and mouth movement data binding for each character. To streamline animation creation, we propose combining artificial intelligence (AI) with a motion capture system. Thi...
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Olga Papadopoulou , Themistoklis Makedas , Lazaros Apostolidis , Francesco Poldi , Symeon Papadopoulos and Ioannis Kompatsiaris
The proliferation of online news, especially during the ?infodemic? that emerged along with the COVID-19 pandemic, has rapidly increased the risk of and, more importantly, the volume of online misinformation. Online Social Networks (OSNs), such as Facebo...
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