A brief overview of ChatGPT: The history, status quo and potential future development
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …
has attracted world-wide attention for its capability of dealing with challenging language …
A review on the attention mechanism of deep learning
Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
Additive manufacturing (AM), commonly known as 3D printing, is a rapidly growing
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …
technology. Guaranteeing the quality and mechanical strength of printed parts is an active …
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Novel Coronavirus 2019 disease or COVID-19 is a viral disease caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
Minority-weighted graph neural network for imbalanced node classification in social networks of internet of people
K Wang, J An, M Zhou, Z Shi, X Shi… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Social networks are an essential component of the Internet of People (IoP) and play an
important role in stimulating interactive communication among people. Graph convolutional …
important role in stimulating interactive communication among people. Graph convolutional …
Graph-based class-imbalance learning with label enhancement
Class imbalance is a common issue in the community of machine learning and data mining.
The class-imbalance distribution can make most classical classification algorithms neglect …
The class-imbalance distribution can make most classical classification algorithms neglect …
Pavement cracks coupled with shadows: A new shadow-crack dataset and a shadow-removal-oriented crack detection approach
Automatic pavement crack detection is a critical task for maintaining the pavement stability
and driving safety. The task is challenging because the shadows on the pavement may have …
and driving safety. The task is challenging because the shadows on the pavement may have …
A bi-population cooperative optimization algorithm assisted by an autoencoder for medium-scale expensive problems
This study presents an autoencoder-embedded optimization (AEO) algorithm which involves
a bi-population cooperative strategy for medium-scale expensive problems (MEPs). A huge …
a bi-population cooperative strategy for medium-scale expensive problems (MEPs). A huge …
Web traffic time series forecasting using LSTM neural networks with distributed asynchronous training
Evaluating web traffic on a web server is highly critical for web service providers since,
without a proper demand forecast, customers could have lengthy waiting times and abandon …
without a proper demand forecast, customers could have lengthy waiting times and abandon …
A hybrid-domain deep learning-based BCI for discriminating hand motion planning from EEG sources
In this paper, a hybrid-domain deep learning (DL)-based neural system is proposed to
decode hand movement preparation phases from electroencephalographic (EEG) …
decode hand movement preparation phases from electroencephalographic (EEG) …