Big data and artificial intelligence application in energy field: a bibliometric analysis
Y Hou, Q Wang - Environmental Science and Pollution Research, 2023 - Springer
This paper uses bibliometrics to characterize the knowledge systems of big data, artificial
intelligence (AI), and energy based on the Science Citation Index Extension (SCI-E) and …
intelligence (AI), and energy based on the Science Citation Index Extension (SCI-E) and …
Convolution neural network model with improved pooling strategy and feature selection for weld defect recognition
H Jiang, Q Hu, Z Zhi, J Gao, Z Gao, R Wang, S He… - Welding in the …, 2021 - Springer
Weld defect recognition plays an important role in the manufacturing process of large-scale
equipment. Traditional methods generally include several serial steps, such as image …
equipment. Traditional methods generally include several serial steps, such as image …
3d convolutional neural network for speech emotion recognition with its realization on intel cpu and nvidia gpu
Due to the high level of precision and remarkable capabilities to solve the intricate problems
in industry and academia, convolutional neural networks (CNNs) are presented. Speech …
in industry and academia, convolutional neural networks (CNNs) are presented. Speech …
Intelligent diagnosis for railway wheel flat using frequency-domain Gramian angular field and transfer learning network
Y Bai, J Yang, J Wang, Q Li - Ieee Access, 2020 - ieeexplore.ieee.org
The intelligent diagnosis of wheel flat based on vibration image classification is a promising
research subject for performance maintenance of railway vehicles. However, the image …
research subject for performance maintenance of railway vehicles. However, the image …
Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing
The technology development greatly increases the amount of digital visual information.
Existing devices cannot efficiently process such huge amounts of data. The technical …
Existing devices cannot efficiently process such huge amounts of data. The technical …
Visualization of COVID Bimodal scan using DNN
COVID-19 is a disease caused by SARS-CoV-2 that can arouse a respiratory tract infection.
Therefore, a rapid identification of clearly visualized infections is urgently needed, which can …
Therefore, a rapid identification of clearly visualized infections is urgently needed, which can …
Obfuscated hardware accelerators for image processing filters—Application specific and functionally reconfigurable processors
A Sengupta, M Rathor - IEEE Transactions on Consumer …, 2020 - ieeexplore.ieee.org
Hardware accelerators are widely used as computationally-intensive cores in consumer
electronics (CE) applications. However security and speed of such hardware accelerators …
electronics (CE) applications. However security and speed of such hardware accelerators …
[HTML][HTML] Employing Different Algorithms of Lightweight Convolutional Neural Network Models in Image Distortion Classification
The majority of applications use automatic image recognition technologies to carry out a
range of tasks. Therefore, it is crucial to identify and classify image distortions to improve …
range of tasks. Therefore, it is crucial to identify and classify image distortions to improve …
Robust deep convolutional neural network against image distortions
LY Wang, SG Chen, FT Chien - APSIPA Transactions on Signal and …, 2021 - cambridge.org
Many approaches have been proposed in the literature to enhance the robustness of
Convolutional Neural Network (CNN)-based architectures against image distortions …
Convolutional Neural Network (CNN)-based architectures against image distortions …
Classification of Distortions in Agricultural Images Using Convolutional Neural Network
ŞA Açar - Gazi Mühendislik Bilimleri Dergisi, 2023 - dergipark.org.tr
Monitoring products is important for quality and ripening control in an efficient agricultural
production process. Monitoring is mostly done with captured images and videos in …
production process. Monitoring is mostly done with captured images and videos in …