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Cancer biology and drug discovery are heavily dependent on conventional 2D cell culture systems. However, a 2D culture is significantly limited by its ability to reflect 'true biology' of tumor in viv...
Urban and population growth results in increasing pressure on the public utilities like transport, energy, healthcare services, crime management and emergency services in the realm of smart city manag...
In this paper, we propose an energy efficient device discovery protocol, eDiscovery, as the first step to bootstrapping opportunistic communications for smartphones,the most popular mobile devices. We...
Finding and accessing suitable geographic information to satisfy various applications in the open and distributed environments of Spatial Data Infrastructures (SDIs) is a crucial task. However, becaus...
Recent advances in Sensor Web geospatial data capture, such as high-resolution satellite imagery and Web- ready data processing and model technologies, have led to the generation of large amounts of d...
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
Car navigation systems are discussed in this study in terms of knowledge discovery, data mining and data quality. Since data, information and knowledge are inseparable levels of human cognition, integ...
Forests play an important role for sustaining the natural environment of human living. Forest fires not only destroy natural environment and ecological equivalence, but also threaten security of life...
A growing attention has been paid to spatial data mining and knowledge discovery (SDMKD). This paper presents the principles of SDMKD, proposes three new techniques, and gives their applicability and ...
SDMKD (Spatial Data Mining and Knowledge Discovery) from GIS database is different from the general DMKD (Data Mining and Knowledge Discovery), which is dominated by properties of geographical spatial...
After given a brief introduction on spatial data mining, the knowledge of river structure and the relations between mainstreams and branches were discussed. Some parameters were imported as characteri...
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objective is to enable en...
Although uncertainties exist in spatial knowledge discovery, they have not been paid much attention to. In the past years, the most researches of spatial knowledge discovery focused on the methods of ...
With the application and development of science and technology, the tremendous amount of spatial and nonspatial data have been stored in large spatial data bases. Analysing them for decision is badly ...
Computational methods have been widely applied to the problem of predicting regulatory elements. Many tools have been proposed. Each has taken a different approach and has been based on different unde...

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