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Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ...
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Yingying Ma, Minglang Xu, Xiaoran Qin, Ying Zeng and Lingyu Zeng
The urban road network is a large and complex system characterized by significant heterogeneity arising from different spatial structures and traffic demands. To facilitate effective management and control, it is necessary to partition the road network i...
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Ying Zhang, Qi Zhang, Yu Zhang and Zhiyuan Zhu
Ocean wireless sensor networks (OWSNs) play an important role in marine environment monitoring, underwater target tracking, and marine defense. OWSNs not only monitor the surface information in real time but also act as an important relay layer for under...
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Yuanfeng Lian, Yueyao Geng and Tian Tian
Due to the complexity of the oil and gas station system, the operational data, with various temporal dependencies and inter-metric dependencies, has the characteristics of diverse patterns, variable working conditions and imbalance, which brings great ch...
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Polina Simkina
The Compact Muon Solenoid (CMS) is one of the general purpose detectors at the CERN Large Hadron Collider (LHC), where the products of proton?proton collisions at the center of mass energy up to 13.6 TeV are reconstructed. The electromagnetic calorimeter...
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Siyu Han, Linsheng Huo, Yize Wang, Jing Zhou and Hongnan Li
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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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Yuexuan Zhao and Jing Huang
Graph variational auto-encoder (GVAE) is a model that combines neural networks and Bayes methods, capable of deeper exploring the influential latent features of graph reconstruction. However, several pieces of research based on GVAE employ a plain prior ...
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Xin Fu, Hengcai Zhang and Peixiao Wang
Lacking indoor navigation graph has become a bottleneck in indoor applications and services. This paper presents a novel automated indoor navigation graph reconstruction approach from large-scale low-frequency indoor trajectories without any other data s...
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Jörg Schäfer
We relate the definition of an ultrametric space to the topological distance algorithm?an algorithm defined in the context of peer-to-peer network applications. Although (greedy) algorithms for constructing minimum spanning trees such as Prim?s or Kruska...
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