Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and ...
Abstract: Unmanned Aerial Vehicle (UAV) networks hold significant applications in emergency communications, intelligent transport systems, and post-disaster rescue operations. However, constrained by ...
Shortest path algorithms like Dijkstra, BFS, and advanced approximations power everything from Google Maps to network routing. Understanding when and how to apply them can save time and resources in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results