Results 31 to 40 of about 2,973 (161)
目的 本国际临床指南由欧洲残疾儿童学会(the European Academy of Childhood Disability,EACD)牵头制定,旨在解决发育性协调障碍(developmental coordination disorder,DCD)的定义、诊断、评估、干预以及与社会心理方面的临床应用关键问题。 方法 本指南针对五个领域的关键问题,通过文献综述和专家团队的正式讨论达成共识。为保证指南的循证基础,以“机制”、“评估”和“干预”为检索词, 对2012年更新以来提出的最新建议以及新增的“社会心理问题”和“青少年/成人”为检索词进行检索。根据牛津大学循证医学中心证据等级 (证据水平 [level of evidence, LOE]1–4) 将结果进行分类,最终转化为指南建议。并由国际 ...
Jing Hua +6 more
wiley +1 more source
针对变电站巡检机器人在传统运动规划方法下存在的难以规划出平滑路径、不确定环境下动作不可测等问题,提出研究不确定条件下的变电站巡检机器人运动规划问题的深度强化学习方法。文中分析了深度学习中奖励值模型II、探索策略和神经网络结构对整个运动规划的影响,设计了不同结构的神经网络,并开展了相关的对比实验。结果表明,在当前任务场景下,相同的运算量神经网络结构C2比神经网络结构C1和神经网络结构C3的计算时间要短。因此,在计算资源短缺时,建议采用神经网络结构C2,更有利于对变电站巡检机器人进行精准的运动规划 ...
董诗绘, 牛彩雯, 戴琨
doaj
Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
In order to coordinate energy interactions among various communities and energy conversions among multi-energy subsystems within the multi-community integrated energy system under uncertain conditions, and achieve overall optimization and scheduling of ...
Bu, Fanjin +5 more
core
Intelligent transmit power control algorithm for the multi-user interference of wireless network [PDF]
To deal with the inter-user interference problem in wireless networks, an intelligent transmit power control scheme was proposed to manage the inter-user interference and guarantee multiple users' quality of service.Firstly, considering the complex ...
Haijun YE +3 more
core +1 more source
穿柜套管是开关柜中的关键绝缘件之一,在高湿环境下容易产生凝露导致运行过程中出现沿面放电现象,给配电网的安全运行带来了隐患。文中基于三维卷积搭建了C3D和MiCT时空网络研究平台,理论分析了紫外视频时空特征的提取方法。分别研究了学习率、批处理尺寸、网络深度对MiCT网络性能的影响,并根据研究结果优化了网络模型。结果表明:MiCT网络相较于C3D网络使用了更少的三维卷积,在减少计算参量的同时获得了更强的泛化能力,具有时空不对称特性的MiCT模块比三维卷积模块能更有效地获取紫外视频的时空特征 ...
李岩 +4 more
doaj
Recursive deep reinforcement learning-based collaborative caching relay algorithm in mobile vehicular edge network [PDF]
Considering scenarios without road side unit coverage, a recursive deep reinforcement learning-based collaborative caching relay algorithm was proposed to construct a caching system by leveraging the cooperation among vehicles.
MA Huahong +3 more
core +1 more source
Large-scale post-disaster user distributed coverage optimization based on multi-agent reinforcement learning [PDF]
In order to quickly restore emergency communication services for large-scale post-disaster users, a distributed intellicise coverage optimization architecture based on multi-agent reinforcement learning (RL) was proposed, which could address the ...
Fengyu WANG +5 more
core +1 more source
针对智能反射面(IRS, intelligent reflecting surface)辅助的多输入单输出(MISO, multiple input single-output)无线携能通信(SWIPT, simultaneous wireless information and power transfer)系统,考虑基站最大发射功率、IRS反射相移矩阵的单位膜约束和能量接收器的最小能量约束,以最大化信息传输速率为目标,联合优化了基站处的波束成形向量和智能反射面的反射波束成形向量。为解决非凸优化问题 ...
基于DDPG的智能反射面辅助无线携能通信系统性能优化
doaj +1 more source
Research on multidimensional dynamic defense strategy for microservice based on deep reinforcement learning [PDF]
Aiming at the problem that it is hard for security defense strategies in cloud native to guarantee the quality of service under dynamic requests, a multidimensional dynamic defense strategy for microservice based on deep reinforcement learning, named ...
Dacheng ZHOU +4 more
core +1 more source
Deep reinforcement learning based task allocation mechanism for intelligent inspection in energy Internet [PDF]
In order to reduce the cost and improve efficiency of power line inspection, UAV (unmanned aerial vehicle), which use mobile edge computing technology to access and process service data, are used to inspect power lines in the energy internet.However, due
Chao YANG +5 more
core +1 more source

