AIMC Topic: Neural Networks, Computer

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Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO.

Sensors (Basel, Switzerland)
An improved maritime object detection algorithm, SRC-YOLO, based on the YOLOv4-tiny, is proposed in the foggy environment to address the issues of false detection, missed detection, and low detection accuracy in complicated situations. To confirm the...

Color Transfer Algorithm between Images Based on a Two-Stage Convolutional Neural Network.

Sensors (Basel, Switzerland)
A color transfer algorithm between images based on two-stage convolutional neural network (CNN) is proposed. The first stage network is based on VGG19 architecture as the backbone. The reference image-based color transfer (RICT) model was used to ext...

Inversion of Soil Organic Matter Content Based on Improved Convolutional Neural Network.

Sensors (Basel, Switzerland)
Soil organic matter (SOM) is an important source of nutrients required during crop growth and is an important component of cultivated soil. In this paper, we studied the possibility of using deep learning methods to establish a multi-feature model to...

Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain.

Sensors (Basel, Switzerland)
In this article, the interpolation of daily data of global solar irradiation, and the maximum, average, and minimum temperatures were measured. These measurements were carried out in the agrometeorological stations belonging to the Agro-climatic Info...

Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network.

Sensors (Basel, Switzerland)
Recently, the dangers associated with face generation technology have been attracting much attention in image processing and forensic science. The current face anti-spoofing methods based on Generative Adversarial Networks (GANs) suffer from defects ...

A Cotraining-Based Semisupervised Approach for Remaining-Useful-Life Prediction of Bearings.

Sensors (Basel, Switzerland)
The failure of bearings can have a significant negative impact on the safe operation of equipment. Recently, deep learning has become one of the focuses of RUL prediction due to its potent scalability and nonlinear fitting ability. The supervised lea...

Classification of Tea Leaves Based on Fluorescence Imaging and Convolutional Neural Networks.

Sensors (Basel, Switzerland)
The development of the smartphone and computer vision technique provides customers with a convenient approach to identify tea species, as well as qualities. However, the prediction model may not behave robustly due to changes in illumination conditio...

A Design Method of Two-Dimensional Subwavelength Grating Filter Based on Deep Learning Series Feedback Neural Network.

Sensors (Basel, Switzerland)
Subwavelength grating structure has excellent filtering characteristics, and its traditional design method needs a lot of computational costs. This work proposed a design method of two-dimensional subwavelength grating filter based on a series feedba...

Deep residual neural-network-based robot joint fault diagnosis method.

Scientific reports
A data driven method-based robot joint fault diagnosis method using deep residual neural network (DRNN) is proposed, where Resnet-based fault diagnosis method is introduced. The proposed method mainly deals with kinds of fault types, such as gain err...