Abstract: Convolutional neural networks (CNNs) algorithms are increasingly being deployed on edge devices with the co-growth of hardware and software. Deploying CNNs on resource-constrained devices ...
We are interested in benchmarking both quantum annealing and classical algorithms for minimizing quadratic unconstrained binary optimization (QUBO) problems. Such problems are NP-hard in general, ...
The main objective of this study is to research and develop a genetic algorithm (GA) for optimizing Chaboche material model parameters within an industrial environment. The optimization is based on 12 ...
Abstract: In this paper, a nonlinear integrated multi-body dynamic (MBD) model of a deep-sea mining (DSM) system was developed. A particular nonlinear interaction model between the mining vehicle and ...
Accurate and robust somatic mutation detection is essential for cancer treatment, diagnostics and research. Various analysis pipelines give different results and thus should be systematically ...
While hardware errors have garnered significant attention as the major obstacle to quantum computing, the error due to human factors in the implementation is less ...
# This post supports Generic Fanuc code output for mill/turn lathes. # It is designed to support the features of Mastercam X. # - Improved algorithm for Lathe canned turning. This lets you output the ...
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