Mathematical model

Study of an Evaluation Model for AIS ReceiverSensitivity Measurements

Study of an Evaluation Model for AIS Receiver Sensitivity Measurements

Abstract To guarantee that ships can navigate safely, the International Maritime Organization mandates that all ships navigating internationally must install the automatic identification system (AIS). AIS works in the very […]

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Can the COVID-19 Epidemic Be Controlled on the Basis of Daily Test Reports?

Can the COVID-19 Epidemic Be Controlled on the Basis of Daily Test Reports?

Abstract This letter studies if and to which extent COVID-19 epidemics can be controlled by authorities taking decisions on public health measures on the basis of daily reports of swab

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Research on real-time distance measurement of mobile eye tracking system based on neural network

Research on real-time distance measurement of mobile eye tracking system based on neural network

Abstract With the development and application of eye-tracking technology, mobile eye-tracking systems have become more widely used due to their safety and portability. We combine eye-tracking systems with real-time object

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Development and Control of a Humanoid Underwater Robot

Development and Control of a Humanoid Underwater Robot

Abstract With the deepening of ocean development, the tasks that underwater vehicles need to perform are more complex. Shared control provides a reliable scheme for robots to accomplish these tasks

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Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

Abstract The intelligent industrial environment developed with the support of the new generation network physics system (CPS) can realize the high concentration of information resources. In order to carry out

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Two-Stage Convolutional Neural Network(CNN) for Medical Noise Removal via Image Decomposition

Two-Stage Convolutional Neural Network (CNN) for Medical Noise Removal via Image Decomposition

Abstract Most of the existing medical image denoising methods focus on estimating either the image or the residual noise. Moreover, they are usually designed for one specific noise with a

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