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Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai and Haiying Zhang
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart...
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Kemal Haciefendioglu, Ahmet Can Altunisik and Tugba Abdioglu
The efficient and precise identification of cracks in masonry stone structures caused by natural or human-induced factors within a specific region holds significant importance in detecting damage and subsequent secondary harm. In recent times, remote sen...
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Lei Liu, Yong Zhang, Yue Hu, Yongming Wang, Jingyi Sun and Xiaoxiao Dong
A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and anomaly detection. A hybrid clustering model was proposed to increase the efficiency of trajectory clustering in the port area and analyze the maritime traf...
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Monika J. Szynaka, Karim Erzini, Jorge M. S. Gonçalves and Aida Campos
The multi-gear coastal vessels in the Algarve (South Portugal) own licenses for various fishing gears. However, it is generally uncertain what gears they use, which is problematic as each individual gear is responsible for unique impacts on the resources...
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Andi Besse Firdausiah Mansur,Norazah Yusof
Pág. 156 - 161
Since the booming of ?big data? or ?data analytic? topics, it has drawn attention toward several research areas such as: student behavior classification, video surveillance, automatic navigation and etc. This paper present k-mean clustering technique to ...
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