Results 211 to 220 of about 615,424 (263)

Effects of U-type and Z-type configurations on proton exchange membrane fuel cell stack performances considering non-uniform flow distribution phenomena

International Journal of Green Energy, 2021
To investigate the proton exchange membrane fuel cell stack performance heterogeneity, a pseudo two-dimensional stack model integrating non-uniform flow distributions is developed.
Zirong Yang, Xiaobing Wang, Yanyi Zhang, K. Jiao, Qing Du, Dong Hao   +5 more
semanticscholar   +1 more source

Demand Side Control for Energy Saving in Renewable Energy Resources Using Deep Learning Optimization

Electric power components and systems, 2023
Convolutional neural networks a type of deep learning technology, are used for forecasting future power usage. The mean absolute error, mean square error, root mean square error, and mean constant percentage error are used to evaluate the performance of ...
Himanshu Shekhar, Chandra Bhushan Mahato, S. Suman, Satyanand Singh, L. Bhagyalakshmi, M. Sharma, B. L. Kantha, H. Vidhya, Siva Kumar, A. Rajaram, Sanjay Kumar, PA Pennsylvania   +11 more
semanticscholar   +1 more source

Performance prediction and analysis of a dead-end PEMFC stack using data-driven dynamic model

Energy, 2019
In this paper, we derive a data-driven dynamic model of a dead-end cascade-type proton exchange membrane (PEM) fuel cell. We employ an Artificial neural network (ANN) method to build the nonlinear black-box model of the PEM fuel cell stack.
M. Barzegari, Seyed Majid Rahgoshay, Lliya Mohammadpour, D. Toghraie   +3 more
semanticscholar   +1 more source

Towards asset administration shell-based continuous engineering in process industries

at - Automatisierungstechnik, 2023
In this work we emphasize the role of the engineering process within the industrial automation domain and its underrepresentation in the Industry 4.0 community possibly explained by discrete roots of Industry 4.0.
Sten Grüner, Mario Hoernicke, Katharina Stark, N. Schoch, Nafise Eskandani, J. Pretlove   +5 more
semanticscholar   +1 more source

A local radon transform for seismic random noise attenuation

, 2021
The Radon transform can sparsify the seismic data assuming that the events follow a certain type of trajectories. Commonly known Radon transforms include linear, parabolic, and hyperbolic transforms, which are usually exploited to process pre-stack data ...
Quanyou Zhang, Hang Wang, Wei Chen, Guangtan Huang   +3 more
semanticscholar   +1 more source

Investigating the effect of the physical scattering mechanism of the dual-polarization sentinel-1 data on the temporal coherence optimization results

International Journal of Remote Sensing, 2019
Polarimetric Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) is an effective technique for increasing the number and phase quality of selected persistent scatterer (PS) pixels.
S. Azadnejad, Y. Maghsoudi, D. Perissin
semanticscholar   +1 more source

QoS-Aware UAV Coverage path planning in 5G mmWave network

Comput. Networks, 2020
Conventional UAV coverage path planning problems assume that UAVs offload sensor data only after the flight is completed. This type of “record-offload-process” approach incurs long delays and has serious risks of data loss.
Lin Shi, Shoukun Xu, Haoyu Liu, Zhong-shan Zhan   +3 more
semanticscholar   +1 more source

A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension

WISE, 2020
Pei Nai, Lin Li, Xiaohui Tao
semanticscholar   +1 more source