Design and analysis of combined discrete-time zeroing neural network for solving time-varying nonlinear equation with robot application [0.03%]
结合机器人应用的时间变化非线性方程求解的组合离散时间零ing神经网络的设计与分析
Zhisheng Ma,Shaobin Huang
Zhisheng Ma
Zeroing neural network (ZNN) is viewed as an effective solution to time-varying nonlinear equation (TVNE). In this paper, a further study is shown by proposing a novel combined discrete-time ZNN (CDTZNN) model for solving TVNE. Specifically...
A robust and effective framework for 3D scene reconstruction and high-quality rendering in nasal endoscopy surgery [0.03%]
一种鲁棒且有效的内窥镜手术中鼻腔三维场景重建与高质量渲染框架
Xueqin Ji,Shuting Zhao,Di Liu et al.
Xueqin Ji et al.
In nasal endoscopic surgery, the narrow nasal cavity restricts the surgical field of view and the manipulation of surgical instruments. Therefore, precise real-time intraoperative navigation, which can provide precise 3D information, plays ...
Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research [0.03%]
多模态融合图像增强技术及CFEC-YOLOv7的水下目标检测算法研究
Xiaorong Qiu,Yingzhong Shi
Xiaorong Qiu
The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing to meet the needs of underwater environm...
Understanding human co-manipulation via motion and haptic information to enable future physical human-robotic collaborations [0.03%]
通过运动和触觉信息理解人的协作操作以实现未来物理人机协作
Kody Shaw,John L Salmon,Marc D Killpack
Kody Shaw
Human teams intuitively and effectively collaborate to move large, heavy, or unwieldy objects. However, understanding of this interaction in literature is limited. This is especially problematic given our goal to enable human-robot teams to...
User recommendation method integrating hierarchical graph attention network with multimodal knowledge graph [0.03%]
一种基于层次图注意力网络和多模态知识图的用户推荐方法
Xiaofei Han,Xin Dou
Xiaofei Han
In common graph neural network (GNN), although incorporating social network information effectively utilizes interactions between users, it often overlooks the deeper semantic relationships between items and fails to integrate visual and te...
Context-Aware Enhanced Feature Refinement for small object detection with Deformable DETR [0.03%]
上下文感知增强特征精炼：用于Deformable DETR的小目标检测方法
Donghao Shi,Cunbin Zhao,Jianwen Shao et al.
Donghao Shi et al.
Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to its reliance on CNNs for feature extrac...
Depth-aware unpaired image-to-image translation for autonomous driving test scenario generation using a dual-branch GAN [0.03%]
一种用于自动驾驶测试场景生成的深度感知无配对图像到图像转换方法（利用双分支对抗神经网络）
Donghao Shi,Chenxin Zhao,Cunbin Zhao et al.
Donghao Shi et al.
Reliable visual perception is essential for autonomous driving test scenario generation, yet adverse weather and lighting variations pose significant challenges to simulation robustness and generalization. Traditional unpaired image-to-imag...
Hexapod robot motion planning investigation under the influence of multi-dimensional terrain features [0.03%]
多维地形特征影响下的六足机器人运动规划研究
Chen Chen,Junbo Lin,Bo You et al.
Chen Chen et al.
To address the challenges arising from the coupled interactions between multi-dimensional terrain features-encompassing both geometric and physical properties of complex field environments-and the locomotion stability of hexapod robots, thi...
Gait analysis system for assessing abnormal patterns in individuals with hemiparetic stroke during robot-assisted gait training: a criterion-related validity study in healthy adults [0.03%]
基于健康成年人的机器人辅助步行训练中判断卒中偏瘫患者异常步态的标准关联效度研究：采用步态分析系统
Issei Nakashima,Daisuke Imoto,Satoshi Hirano et al.
Issei Nakashima et al.
Introduction: Gait robots have the potential to analyze gait characteristics during gait training using mounted sensors in addition to robotic assistance of the individual's movements. However, no systems have been propos...
Analysis and experiment of a positioning and pointing mechanism based on the stick-slip driving principle [0.03%]
一种基于蠕动驱动原理的定位与指向机构分析及实验研究
Yongqi Zhu,Juan Li,Jianbin Huang et al.
Yongqi Zhu et al.
Introduction: Traditional positioning and pointing mechanisms often face limitations in simultaneously achieving high speed and high resolution, and their travel range is typically constrained. To overcome these challenge...