Results 11 to 20 of about 1,213,263 (334)

An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis

open access: yesAutonomous Intelligent Systems, 2022
An industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an ...
Yuxin Liu   +3 more
doaj   +1 more source

A Human-Cyber-Physical System toward Intelligent Wind Turbine Operation and Maintenance

open access: yesSustainability, 2021
This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies.
Xiao Chen   +3 more
semanticscholar   +1 more source

Fault diagnosis of industrial robot based on dual-module attention convolutional neural network

open access: yesAutonomous Intelligent Systems, 2022
Fault diagnosis plays a vital role in assessing the health management of industrial robots and improving maintenance schedules. In recent decades, artificial intelligence-based data-driven approaches have made significant progress in machine fault ...
Kaijie Lu   +4 more
doaj   +1 more source

Underwater Image Enhancement via Triple-Branch Dense Block and Generative Adversarial Network

open access: yesJournal of Marine Science and Engineering, 2023
The complex underwater environment and light scattering effect lead to severe degradation problems in underwater images, such as color distortion, noise interference, and loss of details.
Peng Yang   +4 more
doaj   +1 more source

Expected Failure Method and Its Analysis for Safety Evaluation in a Cyber-Physical Power System

open access: yesIEEE Access, 2022
With the development of communication technology, power and information systems have become deeply coupled and have become the most massive and complex cyber-physical power systems (CPPSs), resulting in certain risks to the safe operation of power ...
Yan Wang   +4 more
doaj   +1 more source

Experimental Study of Ghost Imaging in Underwater Environment

open access: yesSensors, 2022
Underwater imaging technique is a crucial tool for humans to develop, utilize, and protect the ocean. We comprehensively compare the imaging performance of twenty-four ghost imaging (GI) methods in the underwater environment.
Heng Wu   +4 more
doaj   +1 more source

Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management

open access: yesIEEE Access, 2021
Electrocardiogram (ECG) is sensitive to autonomic dysfunction and cardiac complications derived from ischemic or hemorrhage stroke and is supposed to be a potential prognostic tool in stroke identification and post-stroke treatment.
I. Hussain, Se Jin Park
semanticscholar   +1 more source

Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals

open access: yesBrain Informatics, 2023
Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential mental health problems based on biological ...
Neha Gour   +6 more
doaj   +1 more source

Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles

open access: yesSensors, 2021
This paper introduces an integrated IoT architecture to handle the problem of cyber attacks based on a developed deep neural network (DNN) with a rectified linear unit in order to provide reliable and secure online monitoring for automated guided ...
Mahmoud Elsisi, Minh-Quang Tran
doaj   +1 more source

Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus

open access: yesIEEE Access, 2020
A multitude of cyber-physical system (CPS) applications, including design, control, diagnosis, prognostics, and a host of other problems, are predicated on the assumption of model availability.
R. Rai, C. Sahu
semanticscholar   +1 more source

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