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Loai Abdallah, Murad Badarna, Waleed Khalifa and Malik Yousef
In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification ...
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Yizhi Liu, Rutian Qing, Yijiang Zhao and Zhuhua Liao
Road intersections are essential to road networks. How to precisely recognize road intersections based on GPS data is still challenging in intelligent transportation systems. Road intersection recognition involves detecting intersections and recognizing ...
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Oscar J. Pellicer-Valero, César Fernández-de-las-Peñas, José D. Martín-Guerrero, Esperanza Navarro-Pardo, Margarita I. Cigarán-Méndez and Lidiane L. Florencio
Profiling groups of patients in clusters can provide meaningful insights into the features of the population, thus helping to identify people at risk of chronification and the development of specific therapeutic strategies. Our aim was to determine if sp...
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Nitin patidar,Kushboo patidar
The management and analysis of big data has been recognized as one of the majority significant promising requirements in recent years. This is because of the pure volume and growing complexity of data creature created or composed. Existing clustering alg...
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Hansoo Lee and Sungshin Kim
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José Antonio CASTELLANOS GARZÓN,Juan RAMOS GONZÁLEZ
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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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Chang Liu, Shize Zhang, Lufang Cao and Bin Lin
Automatic identification system (AIS) data record a ship?s position, speed over ground (SOG), course over ground (COG), and other behavioral attributes at specific time intervals during a ship?s voyage. At present, there are few studies in the literature...
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Wenxin Wang, Changming Zhao and Haiyang Zhang
At present, the mainstream laser point cloud classification algorithms are mainly based on the geometric information of the target. Nevertheless, if there is occlusion between the targets, the classification effect will be negatively affected. Compared w...
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Roland Löwe, Henrik Madsen and Patrick McSharry
This study evaluated methods for automated classification of rain events into groups of ?high? and ?low? spatial and temporal variability in offline and online situations. The applied classification techniques are fast and based on rainfall data only, an...
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Roland Löwe, Henrik Madsen, Patrick McSharry
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This study evaluated methods for automated classification of rain events into groups of ?high? and ?low? spatial and temporal variability in offline and online situations. The applied classification techniques are fast and based on rainfall data only, an...
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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
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Driss Khalil, Amrutha Prasad, Petr Motlicek, Juan Zuluaga-Gomez, Iuliia Nigmatulina, Srikanth Madikeri and Christof Schuepbach
In air traffic management (ATM), voice communications are critical for ensuring the safe and efficient operation of aircraft. The pertinent voice communications?air traffic controller (ATCo) and pilot?are usually transmitted in a single channel, which po...
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Francesco Mascioli, Valerio Piattelli, Francesco Cerrone, Davide Gasprino, Tina Kunde and Enrico Miccadei
The growing interest in monitoring the marine environment has strongly encouraged governmental agencies and research institutes to undertake seabed mapping programs and stimulated scientific interest in innovative mapping methods and tools. In this study...
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Svetlana S. Bodrunova, Andrey V. Orekhov, Ivan S. Blekanov, Nikolay S. Lyudkevich and Nikita A. Tarasov
The paper is dedicated to solving the problem of optimal text classification in the area of automated detection of typology of texts. In conventional approaches to topicality-based text classification (including topic modeling), the number of clusters is...
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Banqiao Chen, Chibiao Ding, Wenjuan Ren and Guangluan Xu
The requirements of location-based services have generated an increasing need for up-to-date digital road maps. However, traditional methods are expensive and time-consuming, requiring many skilled operators. The feasibility of using massive GPS trajecto...
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Tao Guo and Lei Xie
With the aim of solving the problems of ship trajectory classification and channel identification, a ship trajectory classification method based on deep a convolutional neural network is proposed. First, the ship trajectory data are preprocessed using th...
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Fuyu Xu and Kate Beard
Measures of similarity or differences between data objects are applied frequently in geography, biology, computer science, linguistics, logic, business analytics, and statistics, among other fields. This work focuses on event sequence similarity among ev...
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Dmitry Namiot,Vladimir Romanov
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The article discusses issues related to the use of data science and data mining methods for software repositories. The paper attempts to provide an overview of the technologies that are used in the analysis of programs and are based on static data that c...
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Guang Wen, Alain Protat and Hui Xiao
A prototype-based method is developed to discriminate different types of clutter (ground clutter, sea clutter, and insects) from weather echoes using polarimetric measurements and their textures. This method employs a clustering algorithm to generate dat...
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