Fractional-Order Dynamics Learning and Control via Data-Driven Approaches: Taking Soft Manipulator as an Example [0.03%]
基于数据驱动的分数阶动态学习与控制及软 manipulator 控制应用研究
Xiangyu Shao,Linke Xu,Shaojie Zhang et al.
Xiangyu Shao et al.
The intrinsic memory and nonlocality that allow fractional-order calculus to capture complex dynamical behaviors also pose significant challenges for accurate modeling and stable control. This article presents a unified data-driven framewor...
PerC-SimAM-BLSTM: Position Perception Circular Convolution With Simple Attention Mechanism Based on BLSTM for Bundle Branch Block Detection [0.03%]
基于BLSTM的简单注意机制的PerC-SimAM-BLSTM心束支传导阻滞检测方法
Jibin Wang,Bo Shi
Jibin Wang
Left bundle branch block (LBBB) and right bundle branch block (RBBB) are two typical types of arrhythmias. Due to their similar electrocardiogram (ECG) features, the conventional visual inspection ECG strategy has always been challenging. M...
DPIU: Dynamic Pedestrian Intention Understanding Through Cognitive Decision-Making [0.03%]
基于认知决策制定的动态行人体态意图识别(DPIU)算法研究
Jiaheng Xiao,Zhihui Li,Mingxin Wang et al.
Jiaheng Xiao et al.
Accurate prediction of pedestrian motion is crucial for autonomous driving, particularly in path planning and collision avoidance applications. Most current methods concentrate on spatiotemporal feature parameters (e.g., velocity continuity...
Rethinking the Utilization of Individual Rewards in Multiagent Reinforcement Learning With Sparse Team Rewards [0.03%]
稀疏团队奖励下的多智能体强化学习中个体奖励利用方式的思考
Yang Zhang,Yunjian Xu,Chengwei Zhang et al.
Yang Zhang et al.
The sparsity of team rewards significantly hinders the learning of optimal team policies in cooperative multiagent reinforcement learning (MARL). While augmenting sparse team rewards with individual rewards is a common solution, existing me...
NPSVC++: A Representation Learning Framework for Nonparallel Classifiers [0.03%]
NPSVC++：非平行分类器的表示学习框架
Junhong Zhang,Zhihui Lai,Jie Zhou et al.
Junhong Zhang et al.
This article focuses on a specific family of classifiers called nonparallel support vector classifiers (NPSVCs). Different from typical classifiers, the training of an NPSVC involves the minimization of multiple objectives, resulting in the...
Xiao Xiao,Xufeng Xiang,Xinyue Yang et al.
Xiao Xiao et al.
The importance of precise long-term forecasting in practical applications continues to rise. Extensive scenarios, including parking resource prediction and environmental quality monitoring, rely significantly on LSTF's accurate spatio-tempo...
Robust Image-Based Visual Servoing Formation Control for Quadrotors Without Communication via Reinforcement Learning [0.03%]
基于图像的鲁棒视觉伺服四旋翼无通信编队控制方法研究（强化学习方法）
Xinning Yi,Hao Liu,Haibin Duan et al.
Xinning Yi et al.
The image-based visual servoing (IBVS) formation control problem for quadrotors in global navigation satellite system (GNSS)-denied and communication-degraded environments is addressed via reinforcement learning (RL) algorithms. A robust le...
Virtual Domain-Guided Cross-Modal Distillation With Multiview Correlation Awareness for Domain-Specific Multimodal Neural Machine Translation [0.03%]
基于多视图相关性感知的虚拟领域引导跨模态蒸馏的专用领域多模式神经机器翻译
Zhenyu Hou,Junjun Guo,Zhengtao Yu
Zhenyu Hou
Domain-specific multimodal neural machine translation (DMNMT) aims to translate source language domain sentences into target language by incorporating images as additional contextual information. However, domain-specific multimodal scenario...
Zhenyu Li,Xiangrong Zhang,Lijing Zheng et al.
Zhenyu Li et al.
The contemporary research paradigm in remote sensing hyperspectral monitoring increasingly relies on multisatellite and multiplatform Earth observation. While the traditional hyperspectral research framework based on single-image processing...
Redundancy Removal and Knowledge Alignment-Based Personalized Federated Learning for Online Condition Monitoring [0.03%]
基于知识对齐的去冗余个性化在线状态监测联合学习方法研究
Jinsheng Ji,Hongqun Li,Kai Xian Lai et al.
Jinsheng Ji et al.
Ensuring the safety and reliability of high-voltage electrical equipment requires robust and accurate online monitoring systems for detecting partial discharges (PDs) in switchgear. However, the transmission and storage of data in such syst...