Mathematical methods are extensively used in dealing with simulation and approximation problems related to computer science, engineering, physics, many others [...]

Abstract In order to limit the interference of cloud noise on ground scene information, detection has been a hot issue in research remote sensing image processing. Cloud labels clouds images at pixel level. The majority early systems rely manually created feature and threshold segmentation with limited generalizability. Remote based deep learning improved accuracy speed thanks quick development...

In this attempt we proved results on points of coincidence and common xed points for three selfmappings satisfying generalized contractive type conditions in cone metric spaces. Our results gen-eralizes some previous known results in the literature (eg. [5], [6])

Planning robot trajectory is a complex task that plays a significant role in design and application of robots in task space. The problem is formulated as a trajectory optimization problem which is fundamentally a constrained nonlinear optimization problem. Open-loop optimal control method is proposed as an approach for trajectory optimization of cable parallel manipulator for a given two-end-po...

Existing approaches that extract buildings from point cloud data do not select the appropriate neighbourhood for estimation of normals on individual points. However, success these depends correct normal vector. In most cases, a fixed is selected without considering geometric structure object and distribution input cloud. Thus, heterogeneous cloud, this paper proposes new effective approach sele...

Zero point problems of the sum of two monotone mappings and fixed point problems of a strictly pseudocontractive mapping are investigated‎. ‎A strong convergence theorem for the common solutions of the problems is established in the framework of Hilbert spaces‎.