A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Abstract Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …
A review of wind speed and wind power forecasting with deep neural networks
The use of wind power, a pollution-free and renewable form of energy, to generate electricity
has attracted increasing attention. However, intermittent electricity generation resulting from …
has attracted increasing attention. However, intermittent electricity generation resulting from …
[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …
batteries. The deep learning technique, a game changer in many fields, has recently …
A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures
Lithium-ion batteries have been used in all aspects of life for environmental and resource
reasons. The accurate estimation of the state of charge (SOC) ensures the proper operation …
reasons. The accurate estimation of the state of charge (SOC) ensures the proper operation …
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …
imagery (MI) has emerged as a powerful method for establishing direct communication …
A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
Wafer-scale integration of two-dimensional perovskite oxides towards motion recognition
M Deng, Z Li, S Liu, X Fang, L Wu - Nature Communications, 2024 - nature.com
Two-dimensional semiconductors have shown great potential for the development of
advanced intelligent optoelectronic systems. Among them, two-dimensional perovskite …
advanced intelligent optoelectronic systems. Among them, two-dimensional perovskite …
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …
represents the main challenge against the diagnosis of the transformer status. This paper …