Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier
X Yang, Y Zhang, W Lv, D Wang - Renewable Energy, 2021 - Elsevier
An image recognition model based on a deep learning network is proposed for the
automatic extraction of image features and the accurate and efficient detection of wind …
automatic extraction of image features and the accurate and efficient detection of wind …
Fingerprints classification through image analysis and machine learning method
The system that automatically identifies the anthropometric fingerprint is one of the systems
that interact directly with the user, which every day will be provided with a diverse database …
that interact directly with the user, which every day will be provided with a diverse database …
Wind speed and power ultra short-term robust forecasting based on Takagi–Sugeno fuzzy model
F Liu, R Li, A Dreglea - Energies, 2019 - mdpi.com
Accurate wind power and wind speed forecasting remains a critical challenge in wind power
systems management. This paper proposes an ultra short-time forecasting method based on …
systems management. This paper proposes an ultra short-time forecasting method based on …
High-speed visualization and image processing of sub-atmospheric water boiling on a transparent heater
V Serdyukov, I Malakhov, A Surtaev - Journal of Visualization, 2020 - Springer
The paper is devoted to the processing and analysis of the high-speed visualization data on
water pool boiling in the pressure range of 5.5–103 kPa. The study of the vapor bubbles …
water pool boiling in the pressure range of 5.5–103 kPa. The study of the vapor bubbles …
Automatic identification fingerprint based on machine learning method
The fingerprint identification technology has been developed and applied effectively to
security systems in financial transactions, personal information security, national security …
security systems in financial transactions, personal information security, national security …
Hybrid renewable energy systems, load and generation forecasting, new grids structure, and smart technologies
This chapter gives the brief introduction to the management of energy in smart grids focusing
on the hybrid renewable energy systems, load and generation forecasting, new grids …
on the hybrid renewable energy systems, load and generation forecasting, new grids …
Classification of Road Pavement Defects Based on Convolution Neural Network in Keras
The aim of this paper is to propose the convolution neural network—VGG16 structure in
Keras to classify pavement defects. In this paper, we present a method to build an …
Keras to classify pavement defects. In this paper, we present a method to build an …
Human behavior feature representation and recognition based on depth video
M He, G Song, Z Wei - Journal of Web Engineering, 2020 - ieeexplore.ieee.org
With the continuous development of computer artificial intelligence technology, various
applications based on artificial intelligence emerge in an endless stream, among which …
applications based on artificial intelligence emerge in an endless stream, among which …
Improved Approach for Mapping Anthropological Facial Features Based on A Convolutional Neural Network
Our facial anthropological and actions are non-verbal communication tools that account for
93% of emotions in human communication, 55% of which are facial expressions and …
93% of emotions in human communication, 55% of which are facial expressions and …
A robust approach to detect gas bubbles through images analysis
Bubble detection is a challenging problem in automatic process control in the power and
energy industry, medical and pharmaceutical industry and many other fields. Computer …
energy industry, medical and pharmaceutical industry and many other fields. Computer …