Images are essential for communicating ideas, feelings, and narratives in the era of digital media and content consumption. computers to produce textual data for an image that replaces humans. Image captioning is a fa...
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The integration of artificial intelligence (AI) in healthcare is revolutionizing the clinical procedures in intervention, diagnosis, therapy, amelioration, eradication of diseases and other psychological and neurologi...
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In order to improve the online monitoring level of user side power supply full path, a user side power supply full path online monitoring method based on machine vision technology was designed. Debugging the online us...
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ISBN:
(纸本)9798350366105;9798350366099
In order to improve the online monitoring level of user side power supply full path, a user side power supply full path online monitoring method based on machine vision technology was designed. Debugging the online user side power supply line and calculating the standard output voltage value of the circuit;Select three-level indicators for online monitoring of the full path of user side power supply, and apply Analytic Hierarchy Process to divide indicator weights;Based on machine vision technology, obtain online monitoring images of the full path of user side power supply, extract sift features of visual images using BP neural network, and achieve online monitoring of the full path of user side power supply. The experimental results show that the method has a high recall rate, low misjudgment rate, and short monitoring response time for online monitoring of the entire power supply path, which improves the effectiveness of online monitoring of the entire power supply path on the user side.
The proceedings contain 44 papers. The topics discussed include: a vision-based container-code checking system: case study at international terminal;a robust control strategy for robotic manipulators with finite-time ...
ISBN:
(纸本)9798350305043
The proceedings contain 44 papers. The topics discussed include: a vision-based container-code checking system: case study at international terminal;a robust control strategy for robotic manipulators with finite-time stability;performance improvement of pure pursuit algorithm using PID control;high precision tracking control method based on model-following control and equivalent-input-disturbance;YOLOv5 with dual attention network for object detection on drone;two proposed solutions for mitigating blurred output of autoencoder;knowledge distillation for human pose estimation using channel dropout strategy;recalling multiple object manipulation candidates by learning based on observation;analysis of the capability of deep learning algorithms for EEG-based brain-computer interface implementation;and DE-VSNet: dense efficient vehicle state classification using drone traffic dataset.
As the infrastructure of the computer room, the battery has an urgent need for digitization and unification, and the digital twin technology can support the digital operation of various services in the power communica...
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ISBN:
(纸本)9798350366105;9798350366099
As the infrastructure of the computer room, the battery has an urgent need for digitization and unification, and the digital twin technology can support the digital operation of various services in the power communication network. This paper introduces a battery health management system based on digital twin technology. The system has the functions of standardized modeling, battery position relationship display and battery health management. The system uses the digital twin technology to complete the digital conversion of the battery system, improves the service life of the battery, improves the monitoring mode of the battery, and further reduces the workload of the operation and maintenance personnel. It is expected to play an important role in the future computer room.
Software Defined Networking (SDN) is a newly developed network that implements hardware components virtually. With SDN, control plane is separated from the underlying hardware and implemented in software. The control ...
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This paper designs an apple bagging system based on machine vision and multi-factor discrimination by combining apple varieties and planting areas and using convolutional neural networks. This article uses a knowledge...
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Due to high data availability, it is difficult to classify/process images with higher speed and accuracy. The generation of semantic and human-face images has been a very important problem in artificial intelligence a...
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For the problems of fire detection models based on computervision, such as long inference and training time, too many model parameters and low detection accuracy. We propose ES-YOLO, which can quickly and accurately ...
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The loss of a pet has a significant emotional impact on the owner and the pet. This sad experience generates worrying in the owner, while the pet gets stressed with fear and loneliness. Supporting owners to find their...
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