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Suhee Jo, Ryeonggu Kwon and Gihwon Kwon
GitHub serves as a platform for collaborative software development, where contributors engage, evolve projects, and shape the community. This study presents a novel approach to analyzing GitHub activity that departs from traditional methods. Using Discre...
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Jinguang Gu, Daiwen Wang, Danyang Hu, Feng Gao and Fangfang Xu
In medical texts, temporal information describes events and changes in status, such as medical visits and discharges. According to the semantic features, it is classified into simple time and complex time. The current research on time recognition usually...
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Saroj Maharjan, Antoine Poujol, Christophe Martin, Gabriele Ameri, David Baumont, Kiana Hashemi, Yacine Benjelloun and Hussein Shible
Nepal is one of the most seismically active regions in the world, as highlighted by the recent devastating 2015, Mw~7.8 Gorkha earthquake, and a robust assessment of seismic hazard is paramount for the design of earthquake-resistant structures. In this s...
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Yuxin Cui, Shu Li, Yunxiao Shan and Fengqiu Liu
This study focuses on the finite-time set reachability of probabilistic Boolean multiplex control networks (PBMCNs). Firstly, based on the state transfer graph (STG) reconstruction technique, the PBMCNs are extended to random logic dynamical systems. The...
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Mario A. Leiva, Alejandro J. García, Paulo Shakarian and Gerardo I. Simari
Decision support tools are key components of intelligent sociotechnical systems, and their successful implementation faces a variety of challenges, including the multiplicity of information sources, heterogeneous format, and constant changes. Handling su...
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Alireza Rezazadeh, Yasamin Jafarian and Ali Kord
Image classification is widely used to build predictive models for breast cancer diagnosis. Most existing approaches overwhelmingly rely on deep convolutional networks to build such diagnosis pipelines. These model architectures, although remarkable in p...
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Aqsa Sayeed, Chaman Verma, Neerendra Kumar, Neha Koul and Zoltán Illés
The Internet of robotic things (IoRT) is the combination of different technologies including cloud computing, robots, Internet of things (IoT), artificial intelligence (AI), and machine learning (ML). IoRT plays a major role in manufacturing, healthcare,...
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Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou and Murtadha Ahmed
In recent years, the Markov Logic Network (MLN) has emerged as a powerful tool for knowledge-based inference due to its ability to combine first-order logic inference and probabilistic reasoning. Unfortunately, current MLN solutions cannot efficiently su...
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Rafael Peñaloza
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle unc...
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Marisol Hernández-Orellana, Adolfina Pérez-Garcias and Ángel Roco-Videla
At present, our online activity is almost constant, either producing information or consuming it, both for the social and academic fields. The spaces in which people move and travel every day, innocently divided between the face-to-face and the virtual, ...
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