Sentence examples for pattern of mobile from inspiring English sources
Many mobility models have been reviewed in [11], the mobility models are designed to describe movement pattern of mobile nodes including their locations, velocities and accelerations over time [12].
Our proposal describes a CNN architecture which is able to infer the noise pattern of mobile camera sensors (also known as camera fingerprint) with the aim at detecting and identifying not only the mobile device used to capture an image (with a 98% of accuracy), but also from which embedded camera the image was captured.
The movement pattern of mobile nodes plays an important role in the performance analysis of mobile and wireless networks.
However, RWP fails to capture the characteristics of temporal dependency (i.e., the velocities at two different time slots are dependent) spatial dependency (i.e., the movement pattern of mobile nodes may be influenced by and correlated with nodes in its neighborhood), and geographic constraints (nodes' movements are restricted by obstacle, along streets and freeways) [5].
Details on analyzed loci, primers and presence/absence pattern of mobile elements in studied species are listed in Additional file 1.
In addition, adaptive evolution might have remodeled their transcriptional and post-transcriptional machinery, their mitochondrial-related pathways, and their pattern of mobile elements.
It cannot adapt to the changes in mobility patterns of mobile clients.
MobRec uses the contextual features to cluster, during an off-line stage, users that share similar patterns of mobile behavior.
Coleman, M. A., Vytopil, E., Goodsell, P. J., Gillanders, B. M. & Connell, S. D. Diversity and depth-related patterns of mobile invertebrates associated with kelp forests.
Clustering trajectory data discovers and visualizes available structure in movement patterns of mobile objects and has numerous potential applications in traffic control, urban planning, astronomy, and animal science.
The results show that by analyzing the CDR data exceptional spatio-temporal patterns of mobile data can be correlated to real-world events.
