针对工业机器人云服务平台难以兼容异构通信协议及机器人资源属性描述不统一的问题,
提出一种基于微服务的多机器人资源智能云服务平台架构. 首先, 提出了基于异构协议转换的多 …

Blockchain is presently bringing a revolution in numerous industries like finance, healthcare,
supply chain, insurance, registry, and the internet of things. Numerous industries integrate …

The multi-robot heterogeneous communication protocols are difficult to be compatible and
the description of robot resource attributes are nonuniform. To solve these problrms, a …

Neural networks and deep learning allow complicated models to be taught to comprehend
and accomplish difficult tasks. This study calls into question the model's understandability …

The fast-changing realm of machine learning and artificial intelligence makes model
susceptibility to adversarial assaults a serious concern. Adversarial assaults manipulate …

Wire Arc Additive Manufacturing (WAAM) has emerged as a transformative technology in the
field of additive manufacturing, offering the potential for rapid, cost-effective, and large-scale …

Alzheimer's disease is a brain disorder that slowly destroys memory and thinking skills and,
eventually, the ability to carry out the simplest tasks. In most people with the disease, those …

In this research, neural network approaches for industrial convective boiling simulation are
fully examined. Five strategies address feature extraction, temporal dynamics, memory …

In non-convex optimization contexts, neuronal network optimization is difficult yet crucial.
The novel Adaptive Ensemble of Benign Non-Convex Optimization Algorithms (ABNOA) …

This research delves into the realm of AI-driven heat dissipation, offering a suite of
algorithms to address the challenges posed by high-intensity boiling environments. The …