AIMC Topic: Records

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Frame Structure Fault Diagnosis Based on a High-Precision Convolution Neural Network.

Sensors (Basel, Switzerland) Dec 2, 2022
Structural health monitoring and fault diagnosis are important scientific issues in mechanical engineering, civil engineering, and other disciplines. The basic premise of structural health work is to be able to accurately diagnose the fault in the st...
Humans Neural Networks, Computer Steel Records Engineering Algorithms
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Forecasting medical state transition using machine learning methods.

Scientific reports Nov 28, 2022
Early circulatory failure detection is an effective way to reduce medical fatigue and improve state pre-warning ability. Instead of using 0-1 original state, a transformed state is proposed in this research, which reflects how the state is transforme...
Machine Learning Records Fatigue Benchmarking Humans
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Fault Early Warning Model for High-Speed Railway Train Based on Feature Contribution and Causal Inference.

Sensors (Basel, Switzerland) Nov 25, 2022
The demands for model accuracy and computing efficiency in fault warning scenarios are increasing as high-speed railway train technology continues to advance. The black box model is difficult to interpret, making it impossible for this technology to ...
Bayes Theorem Industry Equipment Failure Records Machine Learning
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MLWAN: Multi-Scale Learning Wavelet Attention Module Network for Image Super Resolution.

Sensors (Basel, Switzerland) Nov 24, 2022
Image super resolution (SR) is an important image processing technique in computer vision to improve the resolution of images and videos. In recent years, deep convolutional neural network (CNN) has made significant progress in the field of image SR;...
Learning Image Processing, Computer-Assisted Neural Networks, Computer Videotape Recording Records
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DOPNet: Achieving Accurate and Efficient Point Cloud Registration Based on Deep Learning and Multi-Level Features.

Sensors (Basel, Switzerland) Oct 27, 2022
Point cloud registration aims to find a rigid spatial transformation to align two given point clouds; it is widely deployed in many areas of computer vision, such as target detection, 3D localization, and so on. In order to achieve the desired result...
Humans Records Algorithms Neural Networks, Computer Deep Learning
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A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification.

Sensors (Basel, Switzerland) Oct 16, 2022
Manual or traditional industrial product inspection and defect-recognition models have some limitations, including process complexity, time-consuming, error-prone, and expensiveness. These issues negatively impact the quality control processes. There...
Artifacts Deep Learning Records Politics Policy
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Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO.

Sensors (Basel, Switzerland) Oct 13, 2022
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...
Data Collection Records Algorithms Weather Neural Networks, Computer
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Rulkov neural network coupled with discrete memristors.

Network (Bristol, England) Oct 6, 2022
The features of memristive-coupled neural networks have been studied extensively in the continuous field. However, the particularities of the discrete domain are rarely mentioned. This paper constructs a discrete memristor with sine-type conductance ...
Time Records Neural Networks, Computer Neurons Algorithms
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A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.

Sensors (Basel, Switzerland) Sep 20, 2022
Social-network-based recommendation algorithms leverage rich social network information to alleviate the problem of data sparsity and boost the recommendation performance. However, traditional social-network-based recommendation algorithms ignore hig...
Neural Networks, Computer Social Networking Algorithms Learning Records
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Investigating molecular transport in the human brain from MRI with physics-informed neural networks.

Scientific reports Sep 14, 2022
In recent years, a plethora of methods combining neural networks and partial differential equations have been developed. A widely known example are physics-informed neural networks, which solve problems involving partial differential equations by tra...
Physics Records Magnetic Resonance Imaging Neural Networks, Computer Humans Brain
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