An effective pyramid neural network based on graph-related attentions structure for fine-grained disease and pest identification in intelligent agriculture

S Lin, Y Xiu, J Kong, C Yang, C Zhao - Agriculture, 2023 - mdpi.com
In modern agriculture and environmental protection, effective identification of crop diseases
and pests is very important for intelligent management systems and mobile computing …

Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things

W Ding, M Abdel-Basset, H Hawash, S Abdel-Razek… - Information …, 2023 - Elsevier
Epilepsy is a predominant paroxysmal neurological disturbance that is usually recognized
as the incidence of impulsive seizures rarely seen in medicine. Automatic detection of …

Lightweight privacy-preserving feature extraction for EEG signals under edge computing

N Yan, H Cheng, X Liu, F Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The health-related Internet of Things (IoT) plays an irreplaceable role in the collection,
analysis, and transmission of medical data. As a device of the health-related IoT, the …

A fine-grained recognition neural network with high-order feature maps via graph-based embedding for natural bird diversity conservation

X Xu, CC Yang, Y Xiao, JL Kong - International Journal of Environmental …, 2023 - mdpi.com
The conservation of avian diversity plays a critical role in maintaining ecological balance
and ecosystem function, as well as having a profound impact on human survival and …

[Retracted] Practice and Exploration of Music Solfeggio Teaching Based on Data Mining Technology

W Zhang - Journal of environmental and public health, 2022 - Wiley Online Library
People can learn, understand, and use music using the solfeggio method. People involved
in professional music training have given it importance because it is a fundamental …

[Retracted] Evaluation System of Music Art Instructional Quality Based on Convolutional Neural Networks and Big Data Analysis

Q Lan, N Fan - Journal of environmental and public health, 2022 - Wiley Online Library
In order to speed up the process of high‐quality education and improve the level of
education quality among the general public, people have pushed for the use of music art …

Structural damage classification under varying environmental conditions and unknown classes via open set domain adaptation

M Zhou, Z Lai - Mechanical Systems and Signal Processing, 2024 - Elsevier
Deep learning has been increasingly employed in data-driven structural health monitoring
(SHM), forming a new paradigm of assessing structural conditions and identifying structural …

[Retracted] Enterprise Human Resource Optimization Algorithm Using PSO Model in Big Data and Complex Environment

X Wang, Y Zhang - Journal of Environmental and Public Health, 2022 - Wiley Online Library
The distribution of human resources has a direct impact on the HR utilization rate in
businesses, which in turn has an impact on the profitability and labor productivity of those …

Benchmarking EEG-based cross-dataset driver drowsiness recognition with deep transfer learning

J Cui, L Yuan, R Li, Z Wang, D Yang… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
It usually takes a long time to collect data for calibration when using electroencephalography
(EEG) for driver drowsiness monitoring. Cross-dataset recognition is desirable since it can …

Music Emotion Recognition Model Using Gated Recurrent Unit Networks and Multi‐Feature Extraction

N Niu - Mobile Information Systems, 2022 - Wiley Online Library
A large number of music platforms have appeared on the Internet recently. The deep
learning framework for music recommendation is still very limited when it comes to …