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Alice Rauber and Romulo Krafta
Christopher Alexander has presented key concepts, such as wholeness, centres, and harmony-seeking computations, related to the coherence reached by a system. Wholeness is the global structural character of a given configuration existing in space. Accordi...
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Zhonggang Ma, Siteng Zhang, He Jia, Kuan Liu, Xiaofei Xie and Yuanchuang Qu
With the development of the engineering construction industry, knowledge became an important strategic resource for construction enterprises, and knowledge graphs are an effective method for knowledge management. In the context of peak carbon dioxide emi...
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Jiangming Wu, Hongzhi Yan, Shuangqi Liu, Yin Zhang and Wuzhong Tan
The modeling and simulation of gearboxes is important for analyzing the dynamic characteristics and designing control strategies of transmission systems. Variable-speed gearboxes include compound planetary gear trains and clutches, which complicates dyna...
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Charlee Kaewrat, Poonpong Boonbrahm and Bukhoree Sahoh
Unsuitable shoe shapes and sizes are a critical reason for unhealthy feet, may severely contribute to chronic injuries such as foot ulcers in susceptible people (e.g., diabetes patients), and thus need accurate measurements in the manner of expert-based ...
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Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Mareike Dornhöfer and Madjid Fathi
In modern industrial systems, collected textual data accumulates over time, offering an important source of information for enhancing present and future industrial practices. Although many AI-based solutions have been developed in the literature for a do...
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Shyr-Long Jeng, Rohit Roy and Wei-Hua Chieng
Mason?s gain formula can grow factorially because of growth in the enumeration of paths in a directed graph. Each of the (n - 2)! permutation of the intermediate vertices includes a path between input and output nodes. This paper presents a novel method ...
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Nakhyeon Seong, Jeongseon Kim and Sungsu Lim
This paper presents a novel machine learning-based approach for detecting abnormal ship movements using CCTV videos. Our method utilizes graph-based algorithms to analyze ship trajectories and identify anomalies, with a focus on enhancing maritime safety...
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Nane Kratzke
Background: This study presents a graph-based, macro-scale, polarity-based, echo chamber detection approach for Twitter. Echo chambers are a concern as they can spread misinformation, and reinforce harmful stereotypes and biases in social networks. Metho...
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Giuseppe Granato, Alessio Martino, Andrea Baiocchi and Antonello Rizzi
Network traffic analysis, and specifically anomaly and attack detection, call for sophisticated tools relying on a large number of features. Mathematical modeling is extremely difficult, given the ample variety of traffic patterns and the subtle and vari...
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Moritz Neumaier, Stefan Kranemann, Bernd Kazmeier and Stephan Rudolph
System design in an aircraft is still a costly, manual and iterative approach. One major cost driver of changes in system installation are design efforts for creating new pipes in an earlier stage and the costs accumulated during the in service life. To ...
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Consolata Gakii, Paul O. Mireji and Richard Rimiru
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Dharahas Tallapally, John Wang, Katerina Potika and Magdalini Eirinaki
Recommender systems have revolutionized the way users discover and engage with content. Moving beyond the collaborative filtering approach, most modern recommender systems leverage additional sources of information, such as context and social network dat...
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Ruth Cordova-Cardenas, Luis Emmi and Pablo Gonzalez-de-Santos
This study presents the development of a route planner, called Mission Planner, for an agricultural weeding robot that generates efficient and safe routes both in the field and on the farm using a graph-based approach. This planner optimizes the robot?s ...
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Aleksandar Ivanovski, Milos Jovanovik, Riste Stojanov and Dimitar Trajanov
In this work, we present a state-of-the-art solution for automatic playlist continuation through a knowledge graph-based recommender system. By integrating representational learning with graph neural networks and fusing multiple data streams, the system ...
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Weikun Xie, Wenjing Qi, Xiaohui Lin and Houjun Wang
With the rapid development of integrated circuit production technology, the scale of FPGA circuits has expanded to billions of gates. The complexity of the internal resource structures in the FPGAs (field programmable gate arrays) is continually increasi...
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Fadi Dornaika and Abdelmalik Moujahid
Facial Beauty Prediction (FBP) is an important visual recognition problem to evaluate the attractiveness of faces according to human perception. Most existing FBP methods are based on supervised solutions using geometric or deep features. Semi-supervised...
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Marco Pegoraro, Merih Seran Uysal and Wil M. P. van der Aalst
Process mining is a discipline which concerns the analysis of execution data of operational processes, the extraction of models from event data, the measurement of the conformance between event data and normative models, and the enhancement of all aspect...
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Manzhu Yu
Natural phenomena are intrinsically spatiotemporal and often highly dynamic. The increasing availability of simulation and observation datasets has provided us a great opportunity to better capture and understand the complexity and dynamics of natural ph...
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Honghu Zhou and Jun Wang
Euclidean distance between instances is widely used to capture the manifold structure of data and for graph-based dimensionality reduction. However, in some circumstances, the basic Euclidean distance cannot accurately capture the similarity between inst...
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Xianglin Meng, Wantao He and Junyan Liu
The normal vector estimation of the large-scale scattered point cloud (LSSPC) plays an important role in point-based shape editing. However, the normal vector estimation for LSSPC cannot meet the great challenge of the sharp increase of the point cloud t...
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