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Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d...
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Naoki Masuyama, Yusuke Nojima, Farhan Dawood and Zongying Liu
This paper proposes a supervised classification algorithm capable of continual learning by utilizing an Adaptive Resonance Theory (ART)-based growing self-organizing clustering algorithm. The ART-based clustering algorithm is theoretically capable of con...
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Steve de Rose, Philippe Meyer and Frédéric Bertrand
Accurate sizing systems of a population permit the minimization of the production costs of the textile apparel industry and allow firms to satisfy their customers. Hence, information about human body shapes needs to be extracted in order to examine, comp...
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Renjie Chen and Nalini Ravishanker
With the advancement of IoT technologies, there is a large amount of data available from wireless sensor networks (WSN), particularly for studying climate change. Clustering long and noisy time series has become an important research area for analyzing t...
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Ran Zhang, Lei Cao, Yiqing Liu, Ru Guo, Junjie Luo and Ping Shu
Old residential communities are integral parts of urban areas, with their environmental quality affecting residents? well-being. Spontaneous informal spaces (SIS) often emerge within these communities. These are predominantly crafted by the elderly using...
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Yuichiro Toda, Akimasa Wada, Hikari Miyase, Koki Ozasa, Takayuki Matsuno and Mamoru Minami
Three-dimensional space perception is one of the most important capabilities for an autonomous mobile robot in order to operate a task in an unknown environment adaptively since the autonomous robot needs to detect the target object and estimate the 3D p...
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Zheng Lyu, Qun Sun, Jingzhen Ma, Qing Xu, Yuanfu Li and Fubing Zhang
Residential areas and road networks have a strong geographical correlation. The development of a single geographical feature could destroy the geographical correlation. It is necessary to establish collaborative generalization models suitable for multipl...
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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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Lingzhi Yin and Yafei Wang
The internal structure and operation rules of railway network have become increasingly complex along with the expansion of the network, putting a higher demand on the development of the railway and the reliability and adaptability of the railway under ea...
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Vicente Román, Luis Payá, Sergio Cebollada and Óscar Reinoso
In this work, an incremental clustering approach to obtain compact hierarchical models of an environment is developed and evaluated. This process is performed using an omnidirectional vision sensor as the only source of information. The method is structu...
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