Abstract: In this paper, we study a data collection problem that uses mobile sinks (MoSs) to collect data from the static and mobile sensors in a wireless sensor network (WSN) and subsequently deliver ...
Researchers at the University of Toronto Scarborough have developed an open-source framework for comparing classical and quantum approaches to solving the notoriously difficult Traveling Salesman ...
This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...
Abstract: Matrix approximation methods have successfully produced efficient, low-complexity approximate transforms for the discrete cosine transforms and the discrete Fourier transforms. For the DFT ...
New research maps optimal performance for cavity-mediated two-qubit gates using quantum simulations, essential for scalable ...
A new multi-granularity fuzzy rough feature selection method fuses algebraic and informational views, improving classification accuracy across 20 benchmark datasets.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results