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Applications of ILP to nature conservation are many, but only a few of them deal with the problem of restoration, and none of the available models considers the basic needs of the local population.
The problem of restoration of a high-resolution image from several degraded versions of the same scene (deconvolution) has been receiving attention in the last years in fields such as optics and computer vision.
The scientific and technical problem of restoration of disturbed areas includes several important objectives: conservation, restoration, and rational utilization of territorial resources; protection of the environment from industrial pollution; reduction of harmful impact on the natural territorial complexes; optimization of technogenic landscapes, and the disturbed areas development.
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In [10], the authors studied the inverse problem for restoration of the initial data of a solution, classical in time and with values in a space of periodic spatial distributions for a time-fractional diffusion equation and diffusion-wave equation.
There are now vast literatures to tackle the problem of image restoration.
The graph-based method is used to solve the problem of service restoration in [6].
The problem of fast restoration from blackout after cyber attacks is identified.
In this paper we address the problem of voltage restoration and control of inverter-based islanded microgrid.
The problem of blind restoration of double regularization CT images under incomplete projection data can be achieved by the following unconstrained minimization objective function.
All this implies that the problem of connectivity restoration from disjoint segments in WSNs is an attractive field of research [1 5].
Image super-resolution is to recover the high-resolution image H from an input low-resolution image L. FTVd method is a popular way to solve the problem of image restoration [34].
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