Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
AI-speed risk requires identity-defined reachability within Zero Trust, reducing exposure and enabling continuous policy ...
Abstract: In this paper, we propose an energy- and distance-aware routing (EDAR) protocol to enhance the lifetime of wireless sensor networks (WSNs). In the EDAR protocol, we enhance the network ...
Users may want to be proactive when using ride-hailing applications like Uber or Lyft, as price discrepancies between the apps themselves and the times and places where you use them can be hefty, ...
Add Yahoo as a preferred source to see more of our stories on Google. A recent Consumer Reports study says Uber and Lyft use artificial intelligence to determine how much money to charge for a ride. A ...
ProxiVec is a QGIS 3.x plugin to generate a proximity (distance) raster from a vector target layer, similar to GDAL/QGIS “Proximity (raster distance)”. It automatically selects a projected working CRS ...
Abstract: The Multi-depot Vehicle Routing Problem with Uncertain Demand (MD-VRPUD) can be modeled as a bi-level optimization problem (BLOP), because it requires both assigning customers to different ...
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