Triboelectric nanogenerator based self-powered sensor for artificial intelligence

Y Zhou, M Shen, X Cui, Y Shao, L Li, Y Zhang - Nano Energy, 2021 - Elsevier
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and
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 …

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 …

End-to-end CNN+ LSTM deep learning approach for bearing fault diagnosis

A Khorram, M Khalooei, M Rezghi - Applied Intelligence, 2021 - Springer
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 …

Towards chemical source tracking and characterization using physics-informed neural networks

F Naderi, I Perez-Raya, S Yadav, AP Kalajahi… - Atmospheric …, 2024 - Elsevier
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 …

A deep learning framework for driving behavior identification on in-vehicle CAN-BUS sensor data

J Zhang, ZC Wu, F Li, C **e, T Ren, J Chen, L Liu - Sensors, 2019 - mdpi.com
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 …

Recent developments in sensor technologies for enabling the hydrogen economy

K Ramaiyan, L Tsui, EL Brosha, C Kreller… - ECS Sensors …, 2023 - iopscience.iop.org
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 …

Gas detection and identification using multimodal artificial intelligence based sensor fusion

P Narkhede, R Walambe, S Mandaokar… - Applied System …, 2021 - mdpi.com
With the rapid industrialization and technological advancements, innovative engineering
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) …

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 …