Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. In the past three decades ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Tula Technology, Inc., a leader in propulsion efficiency and developer of Dynamic Motor Drive® (DMD), will present the latest results of DMD, in conjunction with ...

State Key Laboratory of Materials-Oriented Chemical Engineering, National Engineering Research Center for Special Separation Membrane, College of Chemical Engineering, Nanjing Tech University, Nanjing ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

Disclaimer: This introduction is adapted from the doctoral disseration written by Hoony Kang. Artificial neural networks train by finding optimal weights, which are the strengths of connections ...

Abstract: In this brief, a task-oriented enhanced self-learning speed synchronization control method is proposed for flexible coupled dual-motor (FCDM) systems with unknown model parameters. Firstly, ...

The Scaffolding Theory of Maturation, Cognition, Motor Performance, and Motor Skill Acquisition (SMART COMPASS) provides a revised, integrative framework for understanding the dynamic relationship ...

This important study is of relevance for the fields of predictive processing, perception and learning, with a well-designed paradigm allowing the authors to avoid several common confounds in ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Modeling multi-agent learning dynamics has long been a significant research topic. A multi-agent Q-Learning model based on game theory is proposed. In large systems, agents interact using ...