Toward accurate single image sand dust removal by utilizing uncertainty-aware neural network [0.03%]
利用不确定性感知神经网络准确去除单张图像中的沙尘干扰
Bingcai Wei,Hui Liu,Chuang Qian et al.
Bingcai Wei et al.
Although deep learning methods have made significant strides in single image sand dust removal, the heterogeneous uncertainty induced by dusty environments poses a considerable challenge. In response, our research presents a novel framework...
Dynamic graph neural networks for UAV-based group activity recognition in structured team sports [0.03%]
基于无人机的结构化团队运动群体活动识别的动态图神经网络
Ishrat Zahra,Yanfeng Wu,Haifa F Alhasson et al.
Ishrat Zahra et al.
Introduction: Understanding group actions in real-world settings is essential for the advancement of applications in surveillance, robotics, and autonomous systems. Group activity recognition, particularly in sports scena...
Imitation-relaxation reinforcement learning for sparse badminton strikes via dynamic trajectory generation [0.03%]
基于动态轨迹生成的稀疏羽毛球击球模仿-松弛型强化学习算法
Yanyan Yuan,Yucheng Tao,Shaowen Cheng et al.
Yanyan Yuan et al.
Robotic racket sports provide exceptional benchmarks for evaluating dynamic motion control capabilities in robots. Due to the highly non-linear dynamics of the shuttlecock, the stringent demands on robots' dynamic responses, and the converg...
Variable admittance control with sEMG-based support for wearable wrist exoskeleton [0.03%]
基于sEMG支持的腕部外骨骼助力机器人变阻抗控制方法研究
Charles Lambelet,Melvin Mathis,Marc Siegenthaler et al.
Charles Lambelet et al.
Introduction: Wrist function impairment is common after stroke and heavily impacts the execution of daily tasks. Robotic therapy, and more specifically wearable exoskeletons, have the potential to boost training dose in c...
4D trajectory lightweight prediction algorithm based on knowledge distillation technique [0.03%]
基于知识蒸馏技术的4D航迹轻量预测算法
Weizhen Tang,Jie Dai,Zhousheng Huang et al.
Weizhen Tang et al.
Introduction: To address the challenges of current 4D trajectory prediction-specifically, limited multi-factor feature extraction and excessive computational cost-this study develops a lightweight prediction framework tai...
Tri-manual interaction in hybrid BCI-VR systems: integrating gaze, EEG control for enhanced 3D object manipulation [0.03%]
基于BCI-VR系统的三通道交互技术：凝视与脑电结合的三维物体操作增强技术
Jian Teng,Sukyoung Cho,Shaw-Mung Lee
Jian Teng
Brain-computer interface (BCI) integration with virtual reality (VR) has progressed from single-limb control to multi-limb coordination, yet achieving intuitive tri-manual operation remains challenging. This study presents a consumer-grade ...
Fine-grained image classification using the MogaNet network and a multi-level gating mechanism [0.03%]
基于MogaNet网络和多级门控机制的细粒度图像分类
Dahai Li,Su Chen
Dahai Li
Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel fine-grained image classification method based...
Integrated neural network framework for multi-object detection and recognition using UAV imagery [0.03%]
基于无人机图像的多目标检测与识别集成神经网络框架
Mohammed Alshehri,Tingting Xue,Ghulam Mujtaba et al.
Mohammed Alshehri et al.
Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban planning, autonomous naviga...
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...