AIMC Topic: Algorithms

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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...

Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm.

Computational intelligence and neuroscience
IoT technology has scientific, advanced, and practical characteristics in wearable fitness equipment and artificial intelligence health management. On this basis, this paper discusses the intelligent health management system based on IoT technology. ...

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...

Fine Alignment of Thermographic Images for Robotic Inspection of Parts with Complex Geometries.

Sensors (Basel, Switzerland)
Increasing the efficiency of the quality control phase in industrial production lines through automation is a rapidly growing trend. In non-destructive testing, active thermography techniques are known for their suitability to allow rapid non-contact...

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...

Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning.

Scientific reports
We evaluate the accuracy of an original hybrid segmentation pipeline, combining variational and deep learning methods, in the segmentation of CT scans of stented aortic aneurysms, abdominal organs and brain lesions. The hybrid pipeline is trained on ...

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...