AIMC Topic: Neural Networks, Computer

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Indoor Positioning System with UWB Based on a Digital Twin.

Sensors (Basel, Switzerland)
Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoor environme...

Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder.

Sensors (Basel, Switzerland)
An adaptive deep neural network is used in an inverse system identification setting to approximate the inverse of a nonlinear plant with the aim of constituting the plant controller by copying to the latter the weights and architecture of the converg...

Measuring internal inequality in capsule networks for supervised anomaly detection.

Scientific reports
In this paper we explore the use of income inequality metrics such as Gini or Palma coefficients as a tool to identify anomalies via capsule networks. We demonstrate how the interplay between primary and class capsules gives rise to differences in be...

Intelligent nanoscope for rapid nanomaterial identification and classification.

Lab on a chip
Machine learning image recognition and classification of particles and materials is a rapidly expanding field. However, nanomaterial identification and classification are dependent on the image resolution, the image field of view, and the processing ...

The impact of sparsity in low-rank recurrent neural networks.

PLoS computational biology
Neural population dynamics are often highly coordinated, allowing task-related computations to be understood as neural trajectories through low-dimensional subspaces. How the network connectivity and input structure give rise to such activity can be ...

DAFLNet: Dual Asymmetric Feature Learning Network for COVID-19 Disease Diagnosis in X-Rays.

Computational and mathematical methods in medicine
COVID-19 has become the largest public health event worldwide since its outbreak, and early detection is a prerequisite for effective treatment. Chest X-ray images have become an important basis for screening and monitoring the disease, and deep lear...

Convolutional Neural Network in Microsurgery Treatment of Spontaneous Intracerebral Hemorrhage.

Computational and mathematical methods in medicine
OBJECTIVE: To explore the convolutional neural network (CNN) method in measuring hematoma volume-assisted microsurgery for spontaneous cerebral hemorrhage.

Entrepreneurial Mentality Analysis for College Students Based on the Improved BP Neural Network.

Journal of environmental and public health
In this study, the fuzzy comprehensive evaluation model is used to evaluate the characteristics of college students' entrepreneurial psychology, and a prediction model of college students' entrepreneurial psychology characteristics is established, wh...

Decision-Making Application of the Cloud-Fog Hybrid Model Based on the Improved Convolutional Neural Network in Financial Services in Smart Medical Care.

Computational intelligence and neuroscience
In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the service process, and explore new financial service processes for admission and discharge, this study proposes a cloud-fog hybrid model UCNN-BN based o...

Real Estate Tax Base Assessment by Deep Learning Neural Network in the Context of the Digital Economy.

Computational intelligence and neuroscience
With the continuous development of China's digital economy and the continuous heating of the real estate market, real estate tax base assessment occupies an important position in the real estate market. The purpose is to improve the work efficiency o...