Results 111 to 120 of about 1,727,853 (256)

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

Advanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu, Ryan R. Rusch, Zheng Wu, Chi Chen, Pengju Shi, Hao Qiu, Ximin He   +6 more
wiley   +1 more source

Spatiotemporal prediction of O₃ concentration based on the KNN-Prophet-LSTM model. [PDF]

Heliyon, 2022
Zhang B, Song C, Li Y, Jiang X.
europepmc   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Deep learning with applications for spatiotemporal prediction

Spatiotemporal prediction has garnered significant attention for many years. In recent years, deep learning methods have emerged as effective models for spatiotemporal data, surpassing traditional methods in tasks such as data enhancement and prediction.
Wang, Jiachuan
core  

GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow. [PDF]

Sensors (Basel), 2022
Cai B, Wang Y, Huang C, Liu J, Teng W.
europepmc   +1 more source

Design and Modeling of a High‐Displacement, Skin‐Integrated Flexible Electromagnetic Actuator for Haptic Interfaces in Virtual Reality

Advanced Robotics Research, EarlyView.
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay, Alexandra Zhang Jiang, Ziteng Liu, Rachel Villamor, Derek Cha, Ananya Renuka Balakrishna, Tianshu Liu, Priyanshu Agarwal, Rainer Dömer, Camilo Velez   +9 more
wiley   +1 more source

Spatiotemporal prediction of vancomycin-resistant Enterococcus colonisation. [PDF]

BMC Infect Dis, 2022
van Niekerk JM, Lokate M, Braakman-Jansen LMA, van Gemert-Pijnen JEWC, Stein A.   +4 more
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation [PDF]

, 2020
Multivariate time series modeling and prediction problems are abundant in many machine learning application domains. Accurate interpretation of such prediction outcomes from a machine learning model that explicitly captures temporal correlations can ...
Gangopadhyay, Tryambak, Meng, Rui, Tan, Sin Yong, Jiang, Zhanhong, Sarkar, Soumik   +4 more
core  

CBEC inventory optimization model design based on spatiotemporal attention and transformer architecture.

PLoS ONE
To solve the problem of inaccurate long-term prediction of cross-border inventory encountered by cross-border enterprises in their experience, this paper proposes a cross-border inventory prediction model based on a spatiotemporal perception Transformer.
Zongping Lin, Yingyi Huang, Jing Yang, Chunhu Cui, Yabin Lian, Honglei Zhang   +5 more
doaj   +1 more source