KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters [0.03%]
KalmanFormer：使用变压器建模卡尔曼滤波中的卡尔曼增益
Siyuan Shen,Jichen Chen,Guanfeng Yu et al.
Siyuan Shen et al.
Introduction: Tracking the hidden states of dynamic systems is a fundamental task in signal processing. Recursive Kalman Filters (KF) are widely regarded as an efficient solution for linear and Gaussian systems, offering ...
MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation [0.03%]
一种轻量级多尺度幽灵U网的图像分割方法（MSGU-Net）
Hua Cheng,Yang Zhang,Huangxin Xu et al.
Hua Cheng et al.
U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently and quickly process image segmentation t...
Architectural planning robot driven by unsupervised learning for space optimization [0.03%]
一种基于无监督学习的空间优化建筑规划机器人
Zhe Zhang,Yuchun Zheng
Zhe Zhang
Introduction: Space optimization in architectural planning is a crucial task for maximizing functionality and improving user experience in built environments. Traditional approaches often rely on manual planning or superv...
MGFusion: a multimodal large language model-guided information perception for infrared and visible image fusion [0.03%]
MGFusion：一种多模态大语言模型引导的红外和可见光图像融合信息感知方法
Zengyi Yang,Yunping Li,Xin Tang et al.
Zengyi Yang et al.
Existing image fusion methods primarily focus on complex network structure designs while neglecting the limitations of simple fusion strategies in complex scenarios. To address this issue, this study proposes a new method for infrared and v...
EEG-powered cerebral transformer for athletic performance [0.03%]
基于EEG信号的脑机接口 Transformer 模型以增强运动员比赛表现
Qikai Sun
Qikai Sun
Introduction: In recent years, with advancements in wearable devices and biosignal analysis technologies, sports performance analysis has become an increasingly popular research field, particularly due to the growing dema...
Edge-guided feature fusion network for RGB-T salient object detection [0.03%]
基于边缘引导的RGB-T显著物体检测特征融合网络
Yuanlin Chen,Zengbao Sun,Cheng Yan et al.
Yuanlin Chen et al.
Introduction: RGB-T Salient Object Detection (SOD) aims to accurately segment salient regions in both visible light and thermal infrared images. However, many existing methods overlook the critical complementarity between...
3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal [0.03%]
基于空间光谱特征图学习的3d卷积神经网络解码运动想象eeg信号
Xiaoguang Li,Yaqi Chu,Xuejian Wu
Xiaoguang Li
Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery electroencephalography (EEG). However, motor ima...
Unmanned aerial vehicles for human detection and recognition using neural-network model [0.03%]
基于神经网络模型的人形检测与识别无人机系统研究
Yawar Abbas,Naif Al Mudawi,Bayan Alabdullah et al.
Yawar Abbas et al.
Introduction: Recognizing human actions is crucial for allowing machines to understand and recognize human behavior, with applications spanning video based surveillance systems, human-robot collaboration, sports analysis ...
Posture-invariant myoelectric control with self-calibrating random forests [0.03%]
自校准随机森林模式识别的肌电上肢假手控制系统
Xinyu Jiang,Chenfei Ma,Kianoush Nazarpour
Xinyu Jiang
Introduction: Myoelectric control systems translate different patterns of electromyographic (EMG) signals into the control commands of diverse human-machine interfaces via hand gesture recognition, enabling intuitive cont...
An improved graph factorization machine based on solving unbalanced game perception [0.03%]
一种基于解不平衡博弈感知的改进图因子机方法
Xiaoxia Xie,Yuan Jia,Tiande Ma
Xiaoxia Xie
The user perception of mobile game is crucial for improving user experience and thus enhancing game profitability. The sparse data captured in the game can lead to sporadic performance of the model. This paper proposes a new method, the bal...