The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

In general, there are several many devices that can overload the network and reduce
performance. Devices can minimize interference and optimize bandwidth usage by using …

In recent years, in the field of Multi-Agent Systems (MAS), significant progress has been
made in the research of algorithms that combine Reinforcement Learning (RL) with Attention …

Due to the rapid expansion of heterogeneous mobile networks, there has been a significant
increase in the need for a network, processing, and caching resources. A dynamic vehicular …

In the era of Industry 4.0, the proliferation of location-based services (LBS) and Industrial
Internet of Things (IIoT) asset tracking has revolutionized supply chains and smart …

Aiming at the characteristics of process production with strong continuity and complex
temporal coupling, and the problem that traditional neural networks do not have long-term …

近年来, 强化学习与注意力机制的结合在算法研究领域备受瞩目. 在强化学习算法中,
注意力机制的应用在提高算法性能方面发挥了重要作用. 重点聚焦于注意力机制在深度强化学习 …

The burgeoning complexity in network management has garnered considerable attention,
specifically focusing on Software-Defined Networking (SDN), a transformative technology …

针对流程生产连续性强, 时序耦合复杂等特点, 传统神经网络不具备长期记忆能力,
且在深层次网络训练时易出现训练参数灾难, 梯度爆炸等问题, 提出基于马尔可夫优化的融合门 …

(IoT) stands out for its implementation of automation, highquality ecosystems, creative and
efficient services, and higher productivity. IoT has found applications in various fields, such …