Eisa Aghchehli,Milad Jabbari,Chenfei Ma et al.
Eisa Aghchehli et al.
Electromyography (EMG) systems are essential for the advancement of neuroprosthetics and human-machine interfaces. However, the gap between low-density and high-density systems poses challenges to researchers in experiment design and knowle...
Diagnosis of pneumonia from chest X-ray images using YOLO deep learning [0.03%]
基于YOLO深度学习的胸部X光片肺炎诊断方法
Yanchun Xie,Binbin Zhu,Yang Jiang et al.
Yanchun Xie et al.
Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and misdiagnosis. To address this, we propose a...
Multi-scale image edge detection based on spatial-frequency domain interactive attention [0.03%]
基于时空频域交互注意的多尺度图像边缘检测方法
Yongfei Guo,Bo Li,Wenyue Zhang et al.
Yongfei Guo et al.
Due to the many difficulties in accurately locating edges or boundaries in images of animals, plants, buildings, and the like with complex backgrounds, edge detection has become one of the most challenging tasks in the field of computer vis...
Editorial: Biomedical signals and artificial intelligence towards smart robots control strategies [0.03%]
主编来论：从生物医学信号到人工智能——迈向智能机器人的控制策略
Hassene Seddik,Hassen Fourati,Chiraz Ben Jabeur et al.
Hassene Seddik et al.
Unmanned aerial vehicle based multi-person detection via deep neural network models [0.03%]
基于深度神经网络模型的无人飞行器多人检测方法
Mohammed Alshehri,Laiba Zahoor,Yahya AlQahtani et al.
Mohammed Alshehri et al.
Introduction: Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes...
HR-NeRF: advancing realism and accuracy in highlight scene representation [0.03%]
基于神经辐射场的高光场景逼真呈现及准确性研究（HR-NeRF）
Shufan Dai,Shanqin Wang
Shufan Dai
NeRF and its variants excel in novel view synthesis but struggle with scenes featuring specular highlights. To address this limitation, we introduce the Highlight Recovery Network (HRNet), a new architecture that enhances NeRF's ability to ...
Long Cheng,Ying Mao,Tomas Ward
Long Cheng
Xianmin Wang,Jing Li
Xianmin Wang
Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART [0.03%]
基于BART的低空空域无线电通话标准化方法研究
Weijun Pan,Boyuan Han,Peiyuan Jiang
Weijun Pan
The development of air traffic control (ATC) automation has been constrained by the scarcity and low quality of communication data, particularly in low-altitude complex airspace, where non-standardized instructions frequently hinder trainin...
ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems [0.03%]
多模态机器人系统中的预测基础坑变形的多尺度CLIP框架
Lin Wenbo,Li Tingting,Li Xiao
Lin Wenbo
Introduction: Foundation pit deformation prediction is a critical aspect of underground engineering safety assessment, influencing construction quality and personnel safety. However, due to complex geological conditions a...