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Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
The Automotive Edge Computing Consortium (AECC) today announced that Mitsubishi Heavy Industries, Ltd. (MHI), a leading provider of integrated infrastructure solutions for stable data center ...
Abstract: This paper introduces a novel approach combining quantum particle swarm optimization (QPSO) and Kalman filter to enhance the anti-noise performance of micro-electro-mechanical system (MEMS) ...
Abstract: Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing ...
This repository implements ECP algorithm for solving non-convex black-box global optimization problems, as introduced in Every Call is Precious: Global Optimization of Black-Box Functions with Unknown ...
Introduction: Umbilical cord blood (UCB) is an attractive source of natural killer (NK) cells for the development of allogeneic ‘off-the-shelf’ cancer immunotherapies. This is due to the relatively ...
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