Prevention of medical errors

Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control.

By the method of documentation and logical analysis, based on the data, based on logic and based on the knowledge of three kinds of artificial intelligence in the sports education, the intelligent learning system feedback delay are studied, combined with mobile communication which led to the artificial intelligence online sports games teaching, pattern recognition, and virtual technology combined ...

Long-term results after robot-assisted radical prostatectomy of a simplified inguinal hernia prevention technique without artificial substance use.

INTRODUCTION: Durable techniques that prevent postoperative inguinal hernia (IH) after robot-assisted radical prostatectomy (RARP) have not been established. This study evaluated the long-term efficacy of a postoperative IH prevention technique that uses no artificial agents to assess the characteristics of IH occurrence after introducing this technique.

The Construction of English Smart Classroom Teaching Mode Based on Deep Learning.

Deep learning has an increasingly far-reaching impact on classroom teaching and is an important trend driving the application of educational technolog...

Robust Handover Optimization Technique with Fuzzy Logic Controller for Beyond 5G Mobile Networks.

Mobility management is an essential process in mobile networks to ensure a high quality of service (QoS) for mobile user equipment (UE) during their m...

Fall-from-Height Detection Using Deep Learning Based on IMU Sensor Data for Accident Prevention at Construction Sites.

Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury can be represented by the acceleration peak value....

Research on Data Security Communication Scheme of Heterogeneous Swarm Robotics System in Emergency Scenarios.

In emergency scenarios where the on-site information is completely lacking or the original environmental state has been completely changed, autonomous...

Distributed contrastive learning for medical image segmentation.

Supervised deep learning needs a large amount of labeled data to achieve high performance. However, in medical imaging analysis, each site may only ha...

Patient communication in radiology: Moving up the agenda.

Optimised communication between patients and the imaging team is an essential component of providing patient-centred and value-based care. Communicati...

Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on XR-MSF-U-Net model. The purpose of this method is t...

Reducing Detrimental Communication Failure Impacts in Microgrids by Using Deep Learning Techniques.

A Microgrid (MG), like any other smart and interoperable power system, requires device-to-device (D2D) communication structures in order to function e...

Demod-CNN: A Robust Deep Learning Approach for Intelligent Reflecting Surface-Assisted Multiuser MIMO Communication.

The intelligent reflecting surface (IRS) is a novel and innovative communication technology that aims at the control of the wireless environment. The ...

Double-Balanced Loss for Imbalanced Colorectal Lesion Classification.

Colorectal cancer has a high incidence rate in all countries around the world, and the survival rate of patients is improved by early detection. With ...

Remote State Estimation of Nonlinear Systems Over Fading Channels via Recurrent Neural Networks.

In this article, we consider the remote state estimation for nonlinear dynamic systems with known linear dynamics and unknown nonlinear perturbations....

Analysis of Chinese Machine Translation Training Based on Deep Learning Technology.

With the advent of the information age, people can establish good communication through Internet technology. Mechanical translation has become a key m...

Packaging Design Based on Deep Learning and Image Enhancement.

Packaging design is an important part of product design. How to improve the efficiency of packaging design is a problem that must be considered in pro...

GraphSite: Ligand Binding Site Classification with Deep Graph Learning.

The binding of small organic molecules to protein targets is fundamental to a wide array of cellular functions. It is also routinely exploited to deve...

Underwater robot coordination using a bio-inspired electrocommunication system.

Due to the challenging communication and control systems, few underwater multi-robot coordination systems are currently developed. In nature, weakly e...

Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review.

An intelligent reflecting surface (IRS) is a programmable device that can be used to control electromagnetic waves propagation by changing the electri...

Quasisynchronization of Memristive Neural Networks With Communication Delays via Event-Triggered Impulsive Control.

This article considers the quasisynchronization of memristive neural networks (MNNs) with communication delays via event-triggered impulsive control (...

In situ bidirectional human-robot value alignment.

A prerequisite for social coordination is bidirectional communication between teammates, each playing two roles simultaneously: as receptive listeners...