In this paper, we particularly focus on motions which result in cross-range defocusing.
We particularly focus on research directions in machine architectures, programming interfaces, and parallelization methodologies.
We particularly focus on applications which consist in alarms sent to the sink node.
We particularly focus on changes in the ratios of low-/high-severity patients and public/private hospital patients.
Similar to work in [22], we particularly focus on the temporal queries with the time-range as the query parameter.
We particularly focus on urban environments, as they form the major field of application for heterogeneous mobile networks.
In this section, we particularly focus on the task of roadside recognition which is widely used for vision-guided vehicle navigation.
Thereby, we particularly focus on long-time predictions and the control of hyper- and hypoglycemic initial states, in comparison to measurements.
Figure 1 illustrates a description of the possible recursive splits of a CU in intra coding case, on which we particularly focus in this work.
We particularly focus on DMN networks supporting the hippocampus as this region is rich in estrogen (E) receptors (ER) and has previously been linked to hot flashes.
We particularly focus on the Aedes albopictus mosquito which is now recognized as a major vector of human arboviruses, like chikungunya, dengue, or yellow fever.
