A detailed knowledge of the processes occurring during the thermal treatment is of prime importance not only for applications but also for a deeper understanding of the stability of the deformation-induced metastable phases.
To sum up, existing methods have been widely deployed for developing applications without a deeper understanding regarding their applicability in different contexts or their advantages, disadvantages, and limitations in comparison with each another.
These methods represent a black-box level, from which we assume that it is acceptable for a given application area, where deeper control and insight is neither desired nor necessary, and too much effort would be created for implementing the provided functionality using VCCL instead of a standard programming language (Preidel and Borrmann 2016b).
This paper addresses the problem of ergodicity of stochastic processes starting from a theoretical point of view, with the aim of obtaining a deeper understanding for practical applications.
The temperature conditions at which these coatings present better performances were identified, providing a deeper insight for the practical application of TiO2-based self-cleaning coatings.
The effectiveness of the proposed LWDF-based hardware design methodology is demonstrated through a case study of a deep neural network application for vehicle classification.
In our work, a hollow silicon microprobe developed for deep-brain application is proposed and tested.
The variety of reflective materials allows to specialize the 4 π-PM for a specific application, e.g. for high power applications, high sensitivity measurements or even for applications where wavelengths from the deep UV to the far IR are used at the same time.
Triangular TLP has major consideration for deep-water application also due to its relative insensitivity with increasing water depth, excellent station keeping characteristics, etc. which makes this as a most cost effective and practical production system for deep waters.
Although research in the field of ionic liquids for electrochemical applications has led to a deeper knowledge in their electrochemical properties, doubts in the interpretation of the experimental results are still encountered in the literature due to the poor control of the experimental conditions and/or to the limited number of experiments conducted.
