Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
ABSTRACT: This work presents hybrid optimization methods based on the Threshold Accepting algorithm, Local Search Process, and Variable Neighborhood Search algorithm for the construction of uniform ...
Abstract: In this paper, an optimized simulated annealing algorithm is proposed for thinning and weighting large planar arrays in both far-field and near-field of underwater 3-D sonar imaging systems.
Abstract: Modern natural language processing (NLP) models exhibit extreme sensitivity toward text adversarial examples, while their opposite insensitivity to text rubbish examples is greatly ...
This image illustrates the 1 kbit self-rectifying memristor (SRM) array developed in the study, which shows superior rectification and on/off ratios, along with low-power reading, multi-state storage, ...
Please refer our paper for more details. Works for Python version < 3.8 Note: For faster installation, if you don't plan to use neural networks, you can skip ...
This package uses Very Fast Simulated Aneeling (VFSA) global optimization inversion to obtain the zero offset Common Reflection Surface (CRS) parameters (RN, RNIP, and BETA) from a reflection data ...
Richmond, Virginia: At the Linux Plumbers Conference, the invite-only meeting for the top Linux kernel developers, ByteDance Linux Kernel Engineer Cong Wang, proposed that we use artificial ...
We investigate a framework for binary image denoising via restricted Boltzmann machines (RBMs) that introduces a denoising objective in quadratic unconstrained binary optimization (QUBO) form ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results