Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals. [PDF]
Front Physiol, 2020 Shi M +8 more
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Strategic Management Journal, EarlyView.Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Small, EarlyView.A mist‐based floating catalyst chemical vapor deposition (mist FC‐CVD) strategy allows the use of non‐volatile precursors and multi‐component catalyst delivery in a continuous process. Through catalyst composition control, it generates near‐armchair‐enriched single‐walled carbon nanotubes (SWCNTs) and uncovers key factors governing chiral‐angle ...
Hirotaka Inoue +6 more
wiley +1 more source
steel research international, EarlyView.Hydrogen‐based direct reduced iron (H‐DRI) melts differently from scrap and carbon‐bearing DRI. This work combines differential scanning calorimetry experiments, FactSage thermodynamics, and simple composition‐based regression to predict solidus, liquidus, heat capacity, and enthalpy for H‐DRI.
Ankur Agnihotri +3 more
wiley +1 more source
[A spike denoising method combined principal component analysis with wavelet and ensemble empirical mode decomposition]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2020 Zhou Y, Hu Y, Li M, Yang L, Shang Z.
europepmc +1 more source
A Large Language Model‐Based Approach for Fault Detection and Its Application
Safety Science and Technology, EarlyView.This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley +1 more source
[Research on motion impedance cardiography de-noising method based on two-step spectral ensemble empirical mode decomposition and canonical correlation analysis]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za ZhiXie Y, Yang D, Yu H, Xie Q.
europepmc +1 more source
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition. [PDF]
Sensors (Basel), 2019 Zou Y, Chen Y, Liu P.
europepmc +1 more source
Wind Energy, EarlyView.ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein +2 more
wiley +1 more source