Frequency-based leak signature investigation using acoustic sensors in urban water distribution networks
K Sitaropoulos, S Salamone, L Sela - Advanced Engineering Informatics, 2023 - Elsevier
Cities worldwide have been plagued by water pipe leaks for many decades, resulting in
financial losses, public health risks, and environmental impacts. Current practice still relies …
financial losses, public health risks, and environmental impacts. Current practice still relies …
Antagonistic behavior of brain networks mediated by low-frequency oscillations: electrophysiological dynamics during internal–external attention switching
Antagonistic activity of brain networks likely plays a fundamental role in how the brain
optimizes its performance by efficient allocation of computational resources. A prominent …
optimizes its performance by efficient allocation of computational resources. A prominent …
An efficient deep learning framework for P300 evoked related potential detection in EEG signal
Background Incorporating the time-frequency localization properties of Gabor transform
(GT), the complexity understandings of convolutional neural network (CNN), and histogram …
(GT), the complexity understandings of convolutional neural network (CNN), and histogram …
A Unified Transformer-based Network for Multimodal Emotion Recognition
The development of transformer-based models has resulted in significant advances in
addressing various vision and NLP-based research challenges. However, the progress …
addressing various vision and NLP-based research challenges. However, the progress …
Deep-Learning-Based Classification of Cyclic-Alternating-Pattern Sleep Phases
Determining the cyclic-alternating-pattern (CAP) phases in sleep using
electroencephalography (EEG) signals is crucial for assessing sleep quality. However, most …
electroencephalography (EEG) signals is crucial for assessing sleep quality. However, most …
Towards automated pipelines for processing load test data on a HS railway bridge in Spain using a digital twin
C Ramonell, R Chacón - ISARC. Proceedings of the …, 2022 - search.proquest.com
This document presents an automated pipeline to process sensor-based data produced
during load tests on digitally twinned HS railway bridges. The research is developed within …
during load tests on digitally twinned HS railway bridges. The research is developed within …
Classifying LPI radar waveforms with time-frequency transformations using multi-stage CNN system
As the number of radar waveforms in the cognitive electronic warfare applications increases,
individual detection and classification performances of each waveform vary furthermore due …
individual detection and classification performances of each waveform vary furthermore due …
U-ENHANCE: Underwater Image Enhancement Using Wavelet Triple Self-Attention
P Mishra, SK Vipparthi… - Proceedings of the Asian …, 2024 - openaccess.thecvf.com
Transformer-based methods have demonstrated remarkable performance in underwater
image enhancement due to their ability to capture long-range dependencies, crucial for high …
image enhancement due to their ability to capture long-range dependencies, crucial for high …
Fault classification and localization in microgrids: Leveraging discrete wavelet transform and multi-machine learning techniques considering single point …
Currently, microgrids are becoming more prevalent. Therefore, it is crucial to develop robust
and reliable microgrid protection schemes. Researchers have recently explored various …
and reliable microgrid protection schemes. Researchers have recently explored various …
Helical Gearbox Defect Detection with Machine Learning Using Regular Mesh Components and Sidebands
The current paper presents helical gearbox defect detection models built from raw vibration
signals measured using a triaxial accelerometer. Gear faults, such as localized pitting …
signals measured using a triaxial accelerometer. Gear faults, such as localized pitting …