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Springer Science and Business Media LLC

ESCI-ISI SCOPUS (2022-2023)

  2731-538X

  2731-5398

 

 

Cơ quản chủ quản:  Springer Nature

Lĩnh vực:
Artificial IntelligenceAutomation & Control Systems

Các bài báo tiêu biểu

Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application
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Hong Qiao, Yaxiong Wu, Shanlin Zhong, Peng Yin, Jia-Hao Chen
AbstractTraditional joint-link robots have been widely used in production lines because of their high precision for single tasks. With the development of the manufacturing and service industries, the requirement for the comprehensive performance of robotics is growing. Numerous types of bio-inspired robotics have been investigated to realize human-like motion contr...... hiện toàn bộ
Offline Pre-trained Multi-agent Decision Transformer
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AbstractOffline reinforcement learning leverages previously collected offline datasets to learn optimal policies with no necessity to access the real environment. Such a paradigm is also desirable for multi-agent reinforcement learning (MARL) tasks, given the combinatorially increased interactions among agents and with the environment. However, in MARL, the paradig...... hiện toàn bộ
Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion
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Wenpeng Xing, Jie Chen, Yike Guo
AbstractNovel view synthesis has attracted tremendous research attention recently for its applications in virtual reality and immersive telepresence. Rendering a locally immersive light field (LF) based on arbitrary large baseline RGB references is a challenging problem that lacks efficient solutions with existing novel view synthesis techniques. In this work, we a...... hiện toàn bộ
Transformer: A General Framework from Machine Translation to Others
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Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition
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Chunying Liu, Gongping Yang, Yu-Wen Huang, Fuxian Huang
Editorial for Special Issue on Brain-inspired Machine Learning
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Zhaoxiang Zhang, Bin Luo, Jin Tang, Shan Yu, Amir Hussain
Deep Industrial Image Anomaly Detection: A Survey
- 2024
Jiaqi Liu, Guoyang Xie, Jinbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin
AbstractThe recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural network architectures, levels of supervision, loss functions, metrics and datasets. In addition, we extract...... hiện toàn bộ