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A Framework of Nature Education 自然教育的框架
Integrative Conservation, Volume 4, Issue 1, Page 38-44, March 2025.The framework of nature education provides guidance for educators in designing and improving their programs. Principles within this framework, categorized into foundational concepts, engagement strategies, and desired outcomes, offer a shared language for discussing nature education, and emphasize the role of nature education in human well‐being and ...
Alex Kudryavtsev
wiley +1 more source
, 2019 物联网设备的视频压缩码率和量化参数等编码方案决定着视频质量和物联网设备的使用寿命.针对未知视频传输模型和能量采集模型的物联网设备,提出一种基于强化学习的视频编码方案,能够动态优化视频编码码率和量化参数.该技术根据物联网设备的无线信道带宽、电池水平和采集的能量,结合反馈的视频质量和时延等信息,采用强化学习算法优化选择视频编码码率和量化参数.在动态的网络环境下,物联网设备不需预知视频传输模型就可以综合优化视频质量和设备能量损耗.仿真结果表明,该方案可以提高视频质量,降低设备能量损耗和时延,改善物联网设备效益.
丁钰真 +5 more
core
智能科学与技术学报, 2019 机器学习根据历史数据的模式预测未来，近年来进行了大量研究并得到了应用，但在处理动态、非完整、非结构化信息上与人类相去甚远。为此，引入人的决策，结合机器学习、知识库，构建了一个人在回路的混合增强智能闭环系统。基于 Sawyer 协作机器人搭建了人机融合实验平台，设计了机器人抓取实验。实验结果表明，相比单一机器学习方式，在引入人类智能后，Sawyer在应对非结构化环境下的抓取任务中表现更佳。
付海军 +4 more
doaj
物联网学报针对智能反射面（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
Zhejiang Daxue xuebao. Lixue ban, 2018 针对粒子群算法容易陷入局部最优解的问题，提出了一种基于动态分级和邻域反向学习的改进粒子群算法.该算法通过构建动态分级机制，将种群中的粒子动态地划分成3个等级，对不同等级内的粒子采取不同的扰动行为，使得粒子在增强种群多样性的同时保持向全局最优方向进化；采用粒子智能更新方式，提高了粒子的搜索能力；引入动态邻域反向学习点建立全局搜索策略，促使种群快速寻优.最后，利用多种典型测试函数对该算法进行仿真实验，结果表明，与其他几种优化算法相比，本算法具有较好的收敛性和稳定性.
RENYanzhi(任燕芝)
doaj +1 more source
Uncovering Xi Jinping's Policy Agenda: Text As Data Approach
The Developing Economies, Volume 63, Issue 1, Page 9-46, March 2025.How many agendas has Xi Jinping put forth and promoted since taking office in 2012, and what are the types of agendas? How much of political attention has each agenda received, and how has the allocation of attention changed over time? We utilize a dataset of presidential statements, speeches, and reports from 2012 to 2022 and employed automated text ...
Jaehwan Lim, Asei Ito, Hongyong Zhang
wiley +1 more source
Theory and method of shearer digital twin navigation cutting motion planning [PDF]
In order to further improve the intelligence level of coal working faces and achieve autonomous deduction, autonomous learning, and autonomous optimization of shearer navigation cutting, based on the concept of shearer autonomous navigation cutting ...
GE Shirong, MIAO Bing
core +1 more source
Methods in Ecology and Evolution, Volume 15, Issue 10, Page 1757-1763, October 2024.Abstract Large language models (LLMs) are a type of artificial intelligence (AI) that can perform various natural language processing tasks. The adoption of LLMs has become increasingly prominent in scientific writing and analyses because of the availability of free applications such as ChatGPT. This increased use of LLMs not only raises concerns about
Natalie Cooper +4 more
wiley +1 more source
Explaining differences in policy learning in the EU "Fit for 55” climate policy package
European Policy Analysis, Volume 10, Issue 3, Page 412-448, Summer 2024.Abstract Through learning, policy actors can maintain, reinforce, or revise their beliefs and positions about the design and outcomes of policies. This paper critically analyzes factors influencing policy learning by comparing policy processes of two EU laws of the recent “Fit for 55” climate package: (i) revised provisions on increasing energy ...
Fredrik von Malmborg
wiley +1 more source
Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy [PDF]
For the deep reinforcement learning (DRL)-empowered intelligent jamming, an anti-jamming strategy aided by sample information entropy was proposed. Firstly, the anti-jamming strategy network and entropy prediction network were designed based on neural ...
CHEN Qianbin +6 more
core +1 more source