Results 11 to 20 of about 2,973 (161)
Joint beam hopping and coverage control optimization algorithm for multibeam satellite system [PDF]
, 2023 To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS
Feng CHEN +3 more
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Serious games for environmental education 严肃游戏在环境教育中的应用
Integrative Conservation, Volume 2, Issue 1, Page 19-42, March 2023., 2023 A review of 56 research studies on games used for environmental education revealed that the popularity of games is due to raising awareness, growing investment and better technological access. Successful games are ones that are immersive, have meaningful engagement, involve learning‐by‐doing, simulate the real world, give choices in decisions and have ...
Cedric K. W. Tan, Hidayah Nurul‐Asna
wiley +1 more source
The Association of Retinal age gap with metabolic syndrome and inflammation 视网膜年龄差与代谢综合征和炎症的关系
Journal of Diabetes, Volume 15, Issue 3, Page 237-245, March 2023., 2023 Highlights Retinal age gap is a non‐invasive and cost‐effective aging biomarker. Retinal age gap was significantly associated with metabolic syndrome and inflammation. Retinal age gap could be potentially used as a screening tool for metabolic syndrome in large populations.
Zhuoting Zhu +13 more
wiley +1 more source
智能科学与技术学报, 2022 以机器人为代表的自主智能体系统在工业、服务业等众多领域具有广泛的应用前景和重要的应用价值，但现有自主智能体系统在运动灵巧性、感知信息的完备性、复杂任务和环境的适应性等方面都面临巨大的挑战，难以在开放环境下像人一样灵巧、精准地完成各种复杂操作。而随着以深度学习、深度强化学习为代表的人工智能技术的成功，以操作技能学习为核心的理论研究成为突破自主智能体精准灵巧操作的重要方向，在汲取、融汇联结主义和符号主义的思想精华后构建的操作技能学习框架有望取代传统的示教编程、手工编程模式，以自主学习 ...
王硕
doaj +1 more source
Deep reinforcement learning based algorithm for real-time QoS optimization of software-defined security middle platform [PDF]
, 2023 To overcome the problem that the real-time optimization of the quality of service (QoS) in software-defined security scenarios was hindered by the mismatch between security protection measures and business scenarios, which led to difficulties in ...
Yongtai QIN, Yuancheng LI
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智能科学与技术学报, 2022 群体智能是大规模人类群体和机器集群通过网络交互协作，相互赋能，持续学习，涌现出超越人类个体和机器单体的智能。群体智能在智能化信息服务、软件开发、众包创作、医疗健康、社会行为分析、交通出行、侦察监视、群智机器人等多个领域已经受到学术界和工业界的广泛关注，并成为国家人工智能发展的重要方向之一。对群体智能的深入研究有助于推动改善人与人、人与机器、人与物理世界、机器与机器间的关系。 为了及时掌握该领域的研究热点和技术动态，推动群体智能领域的快速发展，促进学术交流和技术创新，《智能科学与技术学报》发起了 ...
王怀民
doaj +1 more source
Resource allocation strategy based on deep reinforcement learning in 6G dense network [PDF]
, 2023 In order to realize no overlapping interference between cells, 6G dense network (DN) adopting resource allocation is the important technology of enhancing network performance.However, limited resources and dense distribution of nodes make it difficult to
Cheng YANG +6 more
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Deep reinforcement learning based resource allocation algorithm in cellular networks [PDF]
, 2019 In order to solve multi-objective optimization problem,a resource allocation algorithm based on deep reinforcement learning in cellular networks was proposed.Firstly,deep neural network (DNN) was built to optimize the transmission rate of cellular system
Jia SHI +5 more
core +1 more source
智能科学与技术学报, 2022 随着基础理论和硬件计算能力的飞速发展，深度学习技术在众多领域取得了令人瞩目的成绩。作为描述客观物理世界的重要工具，长期以来微分方程是各领域研究人员关心的重点。近年来，深度学习和微分方程的结合逐渐成了研究的热点。由于深度学习能够从大量数据中高效地提取特征，微分方程能够反应客观的物理规律，因此二者的结合可以有效地提升深度学习的泛化性，同时增强深度学习的可解释性。首先，介绍了深度学习求解微分方程的基本问题。其次，介绍了两类深度学习求解微分方程的方法：数据驱动和物理知情方法。然后 ...
卢经纬, 程相, 王飞跃
doaj
Security decision method for the edge of multi-layer satellite network based on reinforcement learning [PDF]
, 2022 Objectives: Multi-layer satellite network is an important component of space-ground integration technology.The purpose of this paper is to rely on the autonomous decision ability of satellite nodes to give full play to the processing and backhaul tasks ...
Chao GUO +4 more
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