Abstract Remote sensing augments field data and facilitates foresight required for forest management by providing spatial temporal observations of characteristics at landscape regional scales. Statistical machine-learning models derived from plot-level can be extrapolated to larger areas using remote data. For example, instruments such as light detection ranging (LiDAR) hyperspectral sensors ar...

With the escalation of attacks that target mobile devices there is an increasing need for efficient monitoring tools. Due to computation, storage, and power constraints of the devices, these monitoring tools may overload the entire system causing severe performance degradation for the running applications. Moreover, they can be pushed by resource-intensive applications and may not perform an ad...

it is correct control and monitoring of modern embankment dams that are very vital in the geotechniqual constructions. the improvement of methods of stability control, using the effective stress and the measurement of ganglionic water pressure in embankment dams cause more the safety for this kind of dams. nowedays there is such an idea that in stead of using of being safety factor against coas...

Rapid technology transitions and growing complexity in parallel and distributed systems make software development in these environments increasingly difficult. Therefore, among other CASE-tools, software developers and users need powerful tools that are able to gather information from running applications as well as to dynamically manipulate with their executions. To connect multiple tools to t...

Social networks are important means for communication, engaging millions of users around the glob. For enterprises in particular, being present and aware of what is discussed on these communication channels about their products and services has become a must. Social media monitoring tools enable enterprises to have access to real customers opinions, complaints and questions, at real time in a h...