Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Zhongxue Gan"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract An abundance of complex dynamical phenomena exists in nature and human society, requiring sophisticated analytical tools to understand and explain. Causal analysis through observational time series data is essential in comprehending complex
Externí odkaz:
https://doaj.org/article/e88f14defb64400e9903c46ac0fc40f1
Autor:
Xiuhong Tang, Hongbo Wang, Jingjing Luo, Jinlei Jiang, Fan Nian, Lizhe Qi, Lingfeng Sang, Zhongxue Gan
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
In traditional cardiac ultrasound diagnostics, the process of planning scanning paths and adjusting the ultrasound window relies solely on the experience and intuition of the physician, a method that not only affects the efficiency and quality of car
Externí odkaz:
https://doaj.org/article/def174ca629c4524826a338f4b93a9c4
Publikováno v:
Autonomous Intelligent Systems, Vol 3, Iss 1, Pp 1-9 (2023)
Abstract In this paper, the formation control problem for a multi-agent system is studied. Two new robust control algorithms for serial and parallel formations respectively are proposed, which take the constraints of limited field of view into consid
Externí odkaz:
https://doaj.org/article/db26665fcb674e24adb90d25615ec0eb
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
This paper proposes a self-learning Monte Carlo tree search algorithm (SL-MCTS), which has the ability to continuously improve its problem-solving ability in single-player scenarios. SL-MCTS combines the MCTS algorithm with a two-branch neural networ
Externí odkaz:
https://doaj.org/article/3e32246b58e649e9bb8637f0b29f90ca
Autor:
Xiaojun Zhu, Jianhua Zhu, Bencheng Wu, Minsheng Liu, Guoqing Wang, Zhenqi Zhu, Zhongxue Gan, Jing Zhang, Chuizhou Meng
Publikováno v:
Energy, Sustainability and Society, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract Background In China, traditional energy planning is subordinate to city planning, with a primary purpose of meeting the energy demand in urban areas by planning and designing an energy system. However, most of the current energy planning in
Externí odkaz:
https://doaj.org/article/7d8518063b714affa7a7a240b72856ba
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4946 (2023)
As the Internet of Things devices are deployed on a large scale, location-based services are being increasingly utilized. Among these services, kNN (k-nearest neighbor) queries based on road network constraints have gained importance. This study focu
Externí odkaz:
https://doaj.org/article/0a731f422a0041f29a0256281a8e2b9d
Publikováno v:
Entropy, Vol 25, Iss 3, p 515 (2023)
Physically implemented neural networks are subject to external perturbations and internal variations. Existing works focus on the adversarial attacks but seldom consider attack on the network structure and the corresponding recovery method. Inspired
Externí odkaz:
https://doaj.org/article/2e5d4472554445c3a52f65d3daf25a07
Publikováno v:
IEEE Access, Vol 8, Pp 182720-182730 (2020)
Given that humans and animals can learn new behaviors in a short time by observing others, the question we need to consider is how to make robots behave like humans or animals, that is, through effective demonstration, robots can quickly understand a
Externí odkaz:
https://doaj.org/article/a79d5d793d1a428d9e0cd4265e6b9bf1
Publikováno v:
Advances in Mechanical Engineering, Vol 13 (2021)
Deep reinforcement learning (DRL) provides a new solution for rehabilitation robot trajectory planning in the unstructured working environment, which can bring great convenience to patients. Previous researches mainly focused on optimization strategi
Externí odkaz:
https://doaj.org/article/173f86d6d982453086715d2776574c01
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
To provide stroke patients with good rehabilitation training, the rehabilitation robot should ensure that each joint of the limb of the patient does not exceed its joint range of motion. Based on the machine vision combined with an RGB-Depth (RGB-D)
Externí odkaz:
https://doaj.org/article/8574d43969e94bceb8e185617ad15918