Triboelectric nanogenerator based self-powered sensor for artificial intelligence
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and
flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric …
flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric …
Recent progress and trend of robot odor source localization
T **g, QH Meng, H Ishida - IEEJ Transactions on Electrical …, 2021 - Wiley Online Library
Accurate and prompt localization of hazardous release sources ensures a timely emergency
response to potential damages. Robot odor source localization is the study of locating the …
response to potential damages. Robot odor source localization is the study of locating the …
Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network
B Sun, X Liu, J Wang, X Wei, H Yuan, H Dai - International Journal of …, 2023 - Elsevier
Short-term performance degradation prediction is significant for fuel cell system control and
health management. This paper presents a hybrid deep learning method by combining the …
health management. This paper presents a hybrid deep learning method by combining the …
End-to-end CNN+ LSTM deep learning approach for bearing fault diagnosis
Fault diagnostics and prognostics are important topics both in practice and research. There
is an intense pressure on industrial plants to continue reducing unscheduled downtime …
is an intense pressure on industrial plants to continue reducing unscheduled downtime …
Towards chemical source tracking and characterization using physics-informed neural networks
This paper presents a new algorithm using physics-informed neural networks (PINNs) to
track and characterize spatio-temporally varying chemical sources based on time-resolved …
track and characterize spatio-temporally varying chemical sources based on time-resolved …
A deep learning framework for driving behavior identification on in-vehicle CAN-BUS sensor data
Human driving behaviors are personalized and unique, and the automobile fingerprint of
drivers could be helpful to automatically identify different driving behaviors and further be …
drivers could be helpful to automatically identify different driving behaviors and further be …
Recent developments in sensor technologies for enabling the hydrogen economy
Efforts to create a sustainable hydrogen economy are gaining momentum as governments
all over the world are investing in hydrogen production, storage, distribution, and delivery …
all over the world are investing in hydrogen production, storage, distribution, and delivery …
Gas detection and identification using multimodal artificial intelligence based sensor fusion
With the rapid industrialization and technological advancements, innovative engineering
technologies which are cost effective, faster and easier to implement are essential. One such …
technologies which are cost effective, faster and easier to implement are essential. One such …
Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care
KW Chen, YC Wang, MH Liu, BY Tsai… - Frontiers in …, 2022 - frontiersin.org
Objective To implement an all-day online artificial intelligence (AI)-assisted detection of ST-
elevation myocardial infarction (STEMI) by prehospital 12-lead electrocardiograms (ECGs) …
elevation myocardial infarction (STEMI) by prehospital 12-lead electrocardiograms (ECGs) …
Rapid Detection of Trace Nitro-Explosives under UV Irradiation by Electronic Nose with Neural Networks
P Liu, X Guo, C Liang, B Du, Y Tan… - … Applied Materials & …, 2023 - ACS Publications
The development of an electronic nose (E-nose) for rapid explosive trace detection (ETD)
has been extensively studied. However, the extremely low saturated vapor pressure of …
has been extensively studied. However, the extremely low saturated vapor pressure of …