Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
Odonata is designed by Andy Watkins, with Mark Raistrick assisting with designs and discussion. Bugs in the Rust code will certainly be mine though - Andy ;-) My lockdown hobby was writing a chess ...
Abstract: Deep neural networks can provide environment sensing and decision support for vehicles in 6G intelligent autonomous transportation systems; however, the high computational cost associated ...
Optical neural networks implemented with Mach-Zehnder Interferometer (MZI) arrays are a promising solution to enable fast and energy-efficient machine learning inference, yet finding a practical ...
Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...
Abstract: We propose a two-dimensional modified min-sum algorithm for the LDPC codes in the fifth generation (5G) networks standard to approach the error performance ...
Evolution has led to natural algorithms that regulate collective behavior in many biological systems. Here, we investigate natural algorithms that solve the shortest path problem, a basic optimization ...
Dynamic routing and congestion control are two major problems in software-defined hybrid satellite-terrestrial multicast networks research. Due to terrestrial users being allowed to join or leave the ...
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