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Pedro Cabalar, Jorge Fandinno, Torsten Schaub and Philipp Wanko
Over the last decades, the development of Answer Set Programming (ASP) has brought about an expressive modeling language powered by highly performant systems. At the same time, it gets more and more difficult to provide semantic underpinnings capturing t...
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Xin Li, José-Fernán Martínez and Gregorio Rubio
Ontologies have been widely used to facilitate semantic interoperability and serve as a common information model in many applications or domains. The Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project, aiming to facilitate coor...
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David Rajaratnam, Torsten Schaub, Philipp Wanko, Kai Chen, Sirui Liu and Tran Cao Son
A warehouse delivery problem consists of a set of robots that undertake delivery jobs within a warehouse. Items are moved around the warehouse in response to events. A solution to a warehouse delivery problem is a collision-free schedule of robot movemen...
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Qiankun Wang, Zhihua Xiong, Ke Zhu and Peiwen Guo
A hybrid method based on the structural equation model (SEM) and a fuzzy cognitive map (FCM) was developed to study the influences of the construction safety risks (CSR) of metro tunnels constructed by the mining method on the project risk (PR). An SEM w...
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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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Xingping Sun, Chang Chen, Lu Wang, Hongwei Kang, Yong Shen and Qingyi Chen
Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research. Establishing an effective Ba...
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Mengmeng Wang and Haiyan Wang
Container ports are prone to delays, congestion, and logistics interruptions under the perturbation of uncertain events inside and outside the system. This not only affects the service quality of the system but also brings a serious blow to the whole tra...
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Florian Thiery, Jonas Veller, Laura Raddatz, Louise Rokohl, Frank Boochs and Allard W. Mees
In this paper, we introduce applications of Artificial Intelligence techniques, such as Decision Trees and Semantic Reasoning, for semi-automatic and semantic-model-based decision-making for archaeological feature comparisons. This paper uses the example...
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Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti and Andrea Omicini
In the era of Big Data and IoT, successful systems have to be designed to discover, store, process, learn, analyse, and predict from a massive amount of data?in short, they have to behave intelligently. Despite the success of non-symbolic techniques such...
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Ganesh Mohan, Francis Assadian and Stefano Longo
With a myriad of alternative vehicle powertrain architectures emerging in the industry, such as electric vehicles and hybrid electric vehicles, it is beneficial that the most appropriate system is chosen for the desired vehicle class and duty cycle, and ...
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Mohamed Assaf, Mohamed Hussein, Sherif Abdelkhalek and Tarek Zayed
Off-site construction (OSC) is an innovative construction method that transfers most of the site-based work to a more controlled environment. Construction waste minimization, speedy schedules, higher sustainability, and better quality are some of the per...
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Shi Li and Xiaoting Chen
The task of joint dialogue act recognition (DAR) and sentiment classification (DSC) aims to predict both the act and sentiment labels of each utterance in a dialogue. Existing methods mainly focus on local or global semantic features of the dialogue from...
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Jordi Morales-i-Gras, Julen Orbegozo-Terradillos, Ainara Larrondo-Ureta and Simón Peña-Fernández
Internet social media is a key space in which the memorial resources of social movements, including the stories and knowledge of previous generations, are organised, disseminated, and reinterpreted. This is especially important for movements such as femi...
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Fei Yan, Abdullah M. Iliyasu, Sihao Jiao and Huamin Yang
Utilising the properties of quantum mechanics, i.e., entanglement, parallelism, etc., a quantum structure is proposed for representing and manipulating emotion space of robots. This quantum emotion space (QES) provides a mechanism to extend emotion inter...
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P.D. Basalin,?.?. Timofeev
Pág. 49 - 55
A modification of the hybrid intellectual learning environment based on the concept of a knowledge based system of the production type, (analytical component) and neural network technologies for learning scenario planning (a synthetic component) is propo...
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Sheng-Li Si, Xiao-Yue You, Hu-Chen Liu and Jia Huang
Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve th...
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Florent Poux, Romain Neuville, Line Van Wersch, Gilles-Antoine Nys and Roland Billen
Digital investigations of the real world through point clouds and derivatives are changing how curators, cultural heritage researchers and archaeologists work and collaborate. To progressively aggregate expertise and enhance the working proficiency of al...
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