AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding [0.03%]
基于注意力的多尺度EEGNet有效运动想象EEG解码
Xuejian Wu,Yaqi Chu,Qing Li et al.
Xuejian Wu et al.
Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed patients. But the low signal-to-noise ratio of ...
Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition [0.03%]
图卷积网络在多模态机器人武术腿部姿态识别中的应用研究
Shun Yao,Yihan Ping,Xiaoyu Yue et al.
Shun Yao et al.
Introduction: Accurate recognition of martial arts leg poses is essential for applications in sports analytics, rehabilitation, and human-computer interaction. Traditional pose recognition models, relying on sequential or...
Huaqi Zhao,Songnan Zhang,Xiang Peng et al.
Huaqi Zhao et al.
Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detecti...
Cross-modality fusion with EEG and text for enhanced emotion detection in English writing [0.03%]
基于EEG和文本的跨模态融合以增强英语写作中的情感识别
Jing Wang,Ci Zhang
Jing Wang
Introduction: Emotion detection in written text is critical for applications in human-computer interaction, affective computing, and personalized content recommendation. Traditional approaches to emotion detection primari...
Elishai Ezra Tsur,Gianluca Di Flumeri,Hadar Cohen Duwek
Elishai Ezra Tsur
Deep reinforcement learning and robust SLAM based robotic control algorithm for self-driving path optimization [0.03%]
基于深度强化学习和鲁棒 slam 的自动驾驶路径优化机器人控制算法
Samiullah Khan,Ashfaq Niaz,Dou Yinke et al.
Samiullah Khan et al.
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic...
Integrating attention mechanism and boundary detection for building segmentation from remote sensing images [0.03%]
结合注意力机制和边界检测的遥感图像建筑分割方法
Ping Liu,Yu Gao,Xiangtian Zheng et al.
Ping Liu et al.
Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of buildings, convolutional neural networks...
FusionU10: enhancing pedestrian detection in low-light complex tourist scenes through multimodal fusion [0.03%]
融合U10：通过多模态融合增强低光复杂旅游场景下的行人检测
Xuefan Zhou,Jiapeng Li,Yingzheng Li
Xuefan Zhou
With the rapid development of tourism, the concentration of visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies ...
RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning [0.03%]
一种高效的移动机器人路径规划的深度强化学习增强QPSO算法 RL-QPSO net
Yang Jing,Li Weiya
Yang Jing
Introduction: Path planning in complex and dynamic environments poses a significant challenge in the field of mobile robotics. Traditional path planning methods such as genetic algorithms, Dijkstra's algorithm, and Floyd'...
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition [0.03%]
基于EEG的情绪识别的定向空间和谱注意力网络(DSSA网络)
Jiyao Liu,Lang He,Haifeng Chen et al.
Jiyao Liu et al.
Significant strides have been made in emotion recognition from Electroencephalography (EEG) signals. However, effectively modeling the diverse spatial, spectral, and temporal features of multi-channel brain signals remains a challenge. This...