The correlation between driving skills and the ability to perform robotic surgery have not yet been discussed. Therefore, this study aimed to investigate the impact of driving skills on learning robotic surgery using a driving simulator and a robotic...
Decades of nanotoxicology research have generated extensive and diverse data sets. However, data is not equal to information. The question is how to extract critical information buried in vast data streams. Here we show that artificial intelligence (...
Surgical laparoscopy, endoscopy & percutaneous techniques
Jun 1, 2023
BACKGROUND: We aim to evaluate how new robotic skills are acquired and retained by having participants train and retest using exercises on the robotic platform. We hypothesized that participants with a 3-month break from the robotic platform will hav...
In RSSI-based indoor visible light positioning systems, when only RSSI is used for trilateral positioning, the receiver height needs to be known to calculate distance. Meanwhile, the positioning accuracy is greatly affected by multi-path effect inter...
Neural networks : the official journal of the International Neural Network Society
May 30, 2023
Research on modeling and mechanisms of the brain remains the most urgent and challenging task. The customized embedded neuromorphic system is one of the most effective approaches for multi-scale simulations ranging from ion channel to network. This p...
Ecotoxicology and environmental safety
May 30, 2023
Membrane-based separation processes has been recently of significant global interest compared to other conventional separation approaches due to possessing undeniable advantages like superior performance, environmentally-benign nature and simplicity ...
Legged robots can travel through complex scenes via dynamic foothold adaptation. However, it remains a challenging task to efficiently utilize the dynamics of robots in cluttered environments and to achieve efficient navigation. We present a novel hi...
Computational intelligence and neuroscience
May 29, 2023
An online policy learning algorithm is used to solve the optimal control problem of the power battery state of charge (SOC) observer for the first time. The design of adaptive neural network (NN) optimal control is studied for the nonlinear power bat...
Neural networks : the official journal of the International Neural Network Society
May 27, 2023
In this paper, the stochastic sampled-data exponential synchronization problem for Markovian jump neural networks (MJNNs) with time-varying delays and the reachable set estimation (RSE) problem for MJNNs subjected to external disturbances are investi...
The reliability of autonomous driving sensing systems impacts the overall safety of the driving system. However, perception system fault diagnosis is currently a weak area of research, with limited attention and solutions. In this paper, we present a...
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