|
|
|
|
|
Bilal Bataineh
Clustering analysis is a significant technique in various fields, including unsupervised machine learning, data mining, pattern recognition, and image analysis. Many clustering algorithms are currently used, but almost all of them encounter various chall...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeinab Ghaemi and Mahdi Farnaghi
Extracting the latent knowledge from Twitter by applying spatial clustering on geotagged tweets provides the ability to discover events and their locations. DBSCAN (density-based spatial clustering of applications with noise), which has been widely used ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jang You Park, Dong June Ryu, Kwang Woo Nam, Insung Jang, Minseok Jang and Yonsik Lee
Density-based clustering algorithms have been the most commonly used algorithms for discovering regions and points of interest in cities using global positioning system (GPS) information in geo-tagged photos. However, users sometimes find more specific a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changlock Choi and Seong-Yun Hong
The increasing use of mobile devices and the growing popularity of location-based ser-vices have generated massive spatiotemporal data over the last several years. While it provides new opportunities to enhance our understanding of various urban dynamics...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jorge Rodríguez-Echeverría, Ivana Semanjski, Casper Van Gheluwe, Daniel Ochoa, Harm IJben and Sidharta Gautama
Knowledge about the spots where tourist activity is undertaken, including which segments from the tourist market visit them, is valuable information for tourist service managers. Nowadays, crowdsourced smartphones applications are used as part of tourist...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaojie Cui, Jiayao Wang, Fang Wu, Jinghan Li, Xianyong Gong, Yao Zhao and Ruoxin Zhu
The spatial pattern is a kind of typical structural knowledge that reflects the distribution characteristics of object groups. As an important semantic pattern of road networks, the city center is significant to urban analysis, cartographic generalizatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianfu Wang, Chang Ren, Yun Luo and Jing Tian
Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. It plays an essential role in density distribution identification, hot-spo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaomi Wang, Yaolin Liu, Yiyun Chen and Yi Liu
|
|
|
|
|
|
|
|
|
|
|
Qingyun Du, Zhi Dong, Chudong Huang and Fu Ren
|
|
|
|
|
|
|
|
|
|
|
Eugenio Cesario, Paolo Lindia and Andrea Vinci
Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such an amount of information is analyzed to discover data-driven models, which can be expl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alfan Rizaldy Pratama Pratama, Bima Sena Bayu Dewantara, Dewi Mutiara Sari, Dadet Pramadihanto
Pág. 153 - 169
One of the most commonly faced tasks in industrial robots is bin picking. Much work has been done in this related topic is about grasping and picking an object from the piled bin but ignoring the recognition step in their pipeline. In this paper, a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alfan Rizaldy Pratama Pratama, Bima Sena Bayu Dewantara, Dewi Mutiara Sari, Dadet Pramadihanto
Pág. 153 - 169
One of the most commonly faced tasks in industrial robots is bin picking. Much work has been done in this related topic is about grasping and picking an object from the piled bin but ignoring the recognition step in their pipeline. In this paper, a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaolin Liu, Xiaomi Wang, Qiliang Liu, Yiyun Chen and Leilei Liu
|
|
|
|
|
|
|
|
|
|
|
Nailus Sa'ada, Tri Harsono, Ahmad Basuki
Pág. 301 - 325
Images contain a lot of information that can be used in a variety of areas. One of the images that have much information inside is satellite image. In order to extract the information properly, the image processing step should be performed properly. The ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Song Chen, Fuhao Zhang, Zhiran Zhang, Siyi Yu, Agen Qiu, Shangqin Liu and Xizhi Zhao
Spatial clustering is dependent on spatial scales. With the widespread use of web maps, a fast clustering method for multi-scale spatial elements has become a new requirement. Therefore, to cluster and display elements rapidly at different spatial scales...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saharsh Barve, Jody M. Webster and Rohitash Chandra
Environmental damage has been of much concern, particularly in coastal areas and the oceans, given climate change and the drastic effects of pollution and extreme climate events. Our present-day analytical capabilities, along with advancements in informa...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jefry Yanto and Rhea P. Liem
Fuel burn accounts for up to 25%
25
%
of an aircraft?s total operating cost and has become one of the most important decision factors in the airline industry. Hence, prudent fuel estimation is essential for airlines to ensure smooth operation in the upc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingying Yu, Chuanming Chen, Liping Sun and Xiaoyao Zheng
Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents? travel characteristics and the operat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lianhui Wang, Pengfei Chen, Linying Chen and Junmin Mou
The Automatic Identification System (AIS) of ships provides massive data for maritime transportation management and related researches. Trajectory clustering has been widely used in recent years as a fundamental method of maritime traffic analysis to pro...
ver más
|
|
|
|
|
|