Detecting arcing faults in switchgear by using deep learning techniques
YA Mohammed Alsumaidaee, CT Yaw, SP Koh… - Applied Sciences, 2023 - mdpi.com
Switchgear and control gear are susceptible to arc problems that arise from slowly
developing defects such as partial discharge, arcing, and heating due to faulty connections …
developing defects such as partial discharge, arcing, and heating due to faulty connections …
Anomaly detection in railway sensor data environments: state-of-the-art methods and empirical performance evaluation
M Bałdyga, K Barański, J Belter, M Kalinowski… - Sensors, 2024 - mdpi.com
To date, significant progress has been made in the field of railway anomaly detection using
technologies such as real-time data analytics, the Internet of Things, and machine learning …
technologies such as real-time data analytics, the Internet of Things, and machine learning …
Crack growth degradation-based diagnosis and design of high pressure liquefied natural gas pipe via designable data-augmented anomaly detection
D Yang, S Lee, J Lee - Journal of Computational Design and …, 2023 - academic.oup.com
A new approach to anomaly detection termed “anomaly detection with designable
generative adversarial network (Ano-DGAN)” is proposed, which is a series connection of a …
generative adversarial network (Ano-DGAN)” is proposed, which is a series connection of a …
Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of Gastrodia elata Blume Using Visible–Near-Infrared Spectroscopy …
J Ma, X Zhou, B Xie, C Wang, J Chen, Y Zhu, H Wang… - Foods, 2023 - mdpi.com
Gastrodia elata (G. elata) Blume is widely used as a health product with significant
economic, medicinal, and ecological values. Due to variations in the geographical origin …
economic, medicinal, and ecological values. Due to variations in the geographical origin …
[HTML][HTML] Performance modeling of flame-assisted fuel cells based on a swirl burner
Y Liu, J Tan, Z Kuai, D Zhang, Y Liu - AIP Advances, 2024 - pubs.aip.org
Aiming at the problems of a narrow operating range and complex modeling of Flame-
assisted Fuel Cells (FFCs), an FFC system based on a swirl burner is proposed, and neural …
assisted Fuel Cells (FFCs), an FFC system based on a swirl burner is proposed, and neural …
Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network
This study proposes a novel approach for breast tumor classification from ultrasound images
into benign and malignant by converting the region of interest (ROI) of a 2D ultrasound …
into benign and malignant by converting the region of interest (ROI) of a 2D ultrasound …
Hybrid Feature Optimization for Voice Spoof Detection Using CNN-LSTM.
M Neelima, IS Prabha - Traitement du Signal, 2024 - search.ebscohost.com
The objective of this work develops an Automatic Speaker Verification (ASV) system to
discern genuine from spoof speech samples. The speech sample features are extracted …
discern genuine from spoof speech samples. The speech sample features are extracted …
Real-time Risk Prediction Using Temporal Gaze Pattern and Evidence Accumulation
G Yang, O Kaskar, A Sarkar - 2024 - vtechworks.lib.vt.edu
Driver gaze information provides insight into the driver's perception and decision-making
process in a dynamic driving environment. It is important to learn whether driver gaze …
process in a dynamic driving environment. It is important to learn whether driver gaze …
Dynamic scenario deduction analysis for hazardous chemical accident based on CNN‐LSTM model with attention mechanism
G Chen, X Ding, X Gao, X Li, L Zhou… - The Canadian Journal of … - Wiley Online Library
The evolution of hazardous chemical accidents (HCAs) is characterized by uncertainty and
complexity. It is challenging for decision‐makers to expeditiously adapt emergency …
complexity. It is challenging for decision‐makers to expeditiously adapt emergency …
T-WAVE ALTERNANS DETECTION: A MACHINE LEARNING AND DEEP LEARNING APPROACH IN PYTHON
ÁS Sosa García - 2024 - burjcdigital.urjc.es
Sudden Cardiac Death (SCD) is a significant global health issue, accounting for a
substantial proportion of cardiovascular disease-related mortality. SCD often results from …
substantial proportion of cardiovascular disease-related mortality. SCD often results from …