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A convenient machine learning model to predict full stomach and evaluate the safety and comfort improvements of preoperative oral carbohydrate in patients undergoing elective painless gastrointestinal endoscopy.

Annals of medicine
BACKGROUND AND AIMS: Assessment of the patient's gastric contents is the key to avoiding aspiration incidents, however, there is no effective method to determine whether elective painless gastrointestinal endoscopy (GIE) patients have a full stomach ...

Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction.

BMC genomics
BACKGROUND: DNA methylation is a form of epigenetic modification that impacts gene expression without modifying the DNA sequence, thereby exerting control over gene function and cellular development. The prediction of DNA methylation is vital for und...

Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach.

Neural networks : the official journal of the International Neural Network Society
This paper presents a delay-variation-dependent approach to fault detection of a discrete-time Markov jump neural network (MJNN) with a time-varying delay and mismatched modes. The goal is to detect the potential fault of delayed MJNNs by constructin...

Using artificial intelligence to grade practical laboratory examinations: Sacrificing students' learning experiences for saving time?

Anatomical sciences education
The use of artificial intelligence (AI) by students has recently been made a key topic among educators because of the potential to transform students' learning experiences. However, the use of AI-based software by instructors has not received the sam...

Sampled-data controller scheme for multi-agent systems and its Application to circuit network.

Neural networks : the official journal of the International Neural Network Society
The objective of this study is to investigate the synchronization criteria under the sampled-data control method for multi-agent systems (MASs) with state quantization and time-varying delay. Currently, a looped Lyapunov-Krasovskii Functional (LKF) h...

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Neural networks : the official journal of the International Neural Network Society
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial video attacks have seldom been explored. In this paper, we propose a sparse adversarial attack strategy on videos (DeepSAVA). Our model aims to add a ...

A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch.

NeuroImage. Clinical
INTRODUCTION: When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established technique for patient stratification. A visible DWI lesion without corresponding parenchymal hyperintensity on FLAIR suggests time since onset of under...

Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input.

Neural networks : the official journal of the International Neural Network Society
The exponential stabilization of stochastic neural networks in mean square sense with saturated impulsive input is investigated in this paper. Firstly, the saturated term is handled by polyhedral representation method. When the impulsive sequence is ...

Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the cluster synchronization of coupled neural networks with reaction-diffusion terms. With the help of impulsive control strategies, some cluster synchronization criteria are proposed by an appropriate event-triggered mechanis...

Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters.

Neural networks : the official journal of the International Neural Network Society
This study addresses the preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters. Employing a preassigned-time stable control strategy, two distinct controllers with varying p...