Data acquired by airborne lidar have transformed how the Earth's surface and vegetation structure are mapped and analyzed leading to many applications, for example, in terrain modeling and ecosystem studies [1].
From the perspective of computer science, handling and analyzing extensive data sets has many applications and various methods are in use.
Converting between the Geocentric Celestial Reference System (GCRS) and International Terrestrial Reference System ITRSS) is necessary for many applications in astrodynamics, such as orbit determination and analyzing geoscience data from satellite missions.
A high resolution BAC-based physical map has many genomics applications including analyzing genome structure, conducting genome-wide comparisons, and facilitating the assembly of B. distachyon genome sequence.
Analyzing big datasets and extracting pattern are valuable in many applications such as web click stream, network traffic monitoring, wireless sensor network etc.
This paper presents a new approach for analyzing and/or synthesizing the heat regeneration system, which has many applications in various energy conversion plants (ECP) and between ones.
Only a few studies have analyzed the security of mobile advertising networks although many applications use one or more advertising services as a source of revenue for the Android developers.
These new datasets enable many applications, including clustering of cancer subtypes, prediction of survival times, and classification of cancer metastasis by analyzing DNA alterations using tools developed for RNA-level analysis.
In many applications, it is desirable to have a filterbank that somehow determines how to shape itself according to the signal being analyzed.
Tracking of facial points has many applications in pattern recognition, such as FE analysis, face recognition, speech recognition, behavior analysis, etc. AUs' detection enables us to analyze FE for emotion, mood, deception, and attitude recognition.
