AIMC Topic: Neural Networks, Computer

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Prediction and Estimation of River Velocity Based on GAN and Multifeature Fusion.

Computational intelligence and neuroscience
The necessity of predicting and estimating river velocity motivates the development of a prediction method based on GAN image enhancement and multifeature fusion. In this method, in order to improve the image quality of river velocity, GAN network is...

A Neural Network Model for Color Element Data Analysis for Urban Spatial Environment.

Computational intelligence and neuroscience
In this paper, a CNN model for color element data analysis of the urban spatial environment is constructed through an in-depth study of color element data analysis. This paper investigates a high-order structure formed by a few nodes; it proposes a m...

Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition.

Computational intelligence and neuroscience
The intelligent inspection of ceramic decorative defects is one of the hot research at present. This work aims to improve the defect inspection automation of finished decorative ceramic workpieces. First, it introduces the multi-target detection algo...

Neural Network Based on Health Monitoring Electrical Equipment Fault and Biomedical Diagnosis.

Computational intelligence and neuroscience
In order to improve the accuracy of electrical equipment failure diagnosis and keep electrical equipment operating safely and efficiently, this paper proposes to design an electrical equipment failure diagnosis system based on a neural network, analy...

Finite-time synchronization of reaction-diffusion memristive neural networks: A gain-scheduled integral sliding mode control scheme.

ISA transactions
The finite-time synchronization issue of reaction-diffusion memristive neural networks (RDMNNs) is studied in this paper. To better synchronize the parameter-varying drive and response systems, an innovative gain-scheduled integral sliding mode contr...

Hierarchical label-wise attention transformer model for explainable ICD coding.

Journal of biomedical informatics
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable pred...

Scene Text Detection Based on Two-Branch Feature Extraction.

Sensors (Basel, Switzerland)
Scene text detection refers to locating text regions in a scene image and marking them out with text boxes. With the rapid development of the mobile Internet and the increasing popularity of mobile terminal devices such as smartphones, the research o...

Prediction of Electric Power Production and Consumption for the CETATEA Building Using Neural Networks.

Sensors (Basel, Switzerland)
Economic and social development is hardly influenced by electric power production and consumption. In this context of the energy supply pressure, energy production and consumption must be monitored and controlled in an intelligent way. Due to the ava...

Color Matching Generation Algorithm for Animation Characters Based on Convolutional Neural Network.

Computational intelligence and neuroscience
In recent years, for China, animation industry is a relatively new and mature emerging national sunrise industry after animation industry, which appears on the world stage more and more frequently and is widely concerned and valued by people from all...

A survey on gene expression data analysis using deep learning methods for cancer diagnosis.

Progress in biophysics and molecular biology
Gene Expression Data is the biological data to extract meaningful hidden information from the gene dataset. This gene information is used for disease diagnosis especially in cancer treatment based on the variations in gene expression levels. DNA micr...