Results 71 to 80 of about 5,206 (257)
Integrative Conservation, Volume 4, Issue 2, Page 154-164, June 2025.This study identified self‐efficacy as a crucial outcome of nature education, with the potential for achieving long‐term conservation goals. Using a mixed‐methods design, we evaluated the effect of a wildlife course implemented in ten rural elementary schools in China, which significantly increased students' self‐efficacy, and also contributed to pro ...
Zhijian Liang +6 more
wiley +1 more source
智能科学与技术学报, 2020 数据中心的绿色可靠运行具有重大的社会经济价值。综述了面向数据中心绿色可靠运行的优化与控制方法，提出一种事件驱动的强化学习方法，用于提升运行能效；提出一种电池寿命预测方法，提升了预测精度。
贾庆山 +5 more
doaj
Risk, Hazards &Crisis in Public Policy, Volume 16, Issue 2, June 2025.Abstract Prior disaster experiences often provide lessons for communities to respond to new disasters. In informal communities prone to disasters but conditioned within reactive disaster management regimes, residents and Community‐Based Organizations (CBOs) play immense roles in disaster risk reduction and response.
Stephen Kofi Diko +5 more
wiley +1 more source
China's Eco‐Civilisation, Climate Leviathan, and Hobbesian Energy Transition
Antipode, Volume 57, Issue 3, Page 830-861, May 2025.Abstract Scholars have hitherto tended to theorise China's ecological civilisation project either as a form of environmental authoritarianism or as a vision of eco‐socialism. This paper contributes to the conversation by conducting a textual analysis of Chinese scholarly discussions on eco‐civilisation.
David Chen
wiley +1 more source
Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism [PDF]
, 2013 In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was ...
Fei XIAO +4 more
core
Research on named entity recognition method in cybersecurity based on soft prompt tuning and reinforcement learning [PDF]
As network technology rapidly advanced, new cybersecurity threats constantly emerged, increasing the importance of cybersecurity named entity recognition.
LIU Chunyu +5 more
core +1 more source
Infant Mental Health Journal: Infancy and Early Childhood, Volume 46, Issue 2, Page 115-132, March 2025.Abstract The purpose of this article is to share our story of conceptualizing Indigenous early relational wellbeing (ERW), specifically reflecting American Indian and Alaska Native worldviews. Our approach is grounded in Indigenous methodologies and guided by a Community of Learning comprised of Indigenous and allied Tribal early childhood community ...
Chelsea A. Wesner +11 more
wiley +1 more source
Deep reinforcement learning-based resource reservation algorithm for emergency Internet-of-things slice [PDF]
, 2020 Based on the requirements of ultra-low latency services for emergency Internet-of-things (EIoT) applications,a multi-slice network architecture for ultra-low latency emergency IoT was designed,and a general methodology framework based on resource ...
Guisong LIU, Guolin SUN, Ruijie OU
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智能科学与技术学报面向未来海上分布式作战需求，以对抗环境下分布式作战场景中智能导弹齐射突防水面舰艇为背景，首先，分析了导弹突防策略规划问题；其次，设计了基于奖励塑造强化学习的智能导弹突防策略规划方法；然后，在墨子联合作战推演系统上构建导弹突防舰艇的作战想定，实验结果表明本文方法的智能导弹突防打击成功率为79%，验证了基于奖励塑造强化学习方法的有效性；最后，经过复盘发现，奖励塑造实验涌现出智能导弹的4类对舰打击突防策略：集中迂回攻击、分散突防多向攻击、分组延时攻击、巡弋探测指引攻击。
罗俊仁, 刘果, 苏炯铭, 张万鹏, 陈璟
doaj +1 more source
智能科学与技术学报, 2021 理解大脑的工作原理是实现“终极”人工智能的重要途径。建模并验证模型的正确性是理解大脑工作原理的重要手段。首先概述大脑的实验研究方法和建模研究方法；然后给出大脑的框图模型，并以强化学习为核心介绍大脑建模的理论框架；最后给出目前亟待解决的几个热点问题，并讨论大脑建模与相关学科之间的关系。
胡东伟, 冯晓璐
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