NeuroVI-based wave compensation system control for offshore wind turbines [0.03%]
基于神经网络的海上风电机组波浪补偿控制系统
Fengshuang Ma,Xiangyong Liu,Zhiqiang Xu et al.
Fengshuang Ma et al.
In deep-sea areas, the hoisting operation of offshore wind turbines is seriously affected by waves, and the secondary impact is prone to occur between the turbine and the pile foundation. To address this issue, this study proposes an integr...
Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs [0.03%]
预训练、个性化和自校准：基于神经网络的肌电解码器所需的一切
Chenfei Ma,Xinyu Jiang,Kianoush Nazarpour
Chenfei Ma
Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and robotics. However, a major challenge lies in e...
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...