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
Research progress of deep reinforcement learning applied to text generation [PDF]
, 2020 With the recent exciting achievements of Google’s artificial intelligence system in the game of Go, deep reinforcement learning (DRL) has witnessed considerable development.
Cong XU +4 more
core +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
core +1 more source
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
core +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, 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
Software-defined networking QoS optimization based on deep reinforcement learning [PDF]
, 2019 To solve the problem that the QoS optimization schemes which based on heuristic algorithm degraded often due to the mismatch between parameters and network characteristics in software-defined networking scenarios,a software-defined networking QoS ...
Julong LAN +3 more
core +1 more source
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
Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning [PDF]
, 2022 The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of ...
Chuang SUN +4 more
core +1 more source