Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Boyu Kuang"'
Autor:
Somtochukwu Godfrey Nnabuife, Caleb Kwasi Darko, Precious Chineze Obiako, Boyu Kuang, Xiaoxiao Sun, Karl Jenkins
Publikováno v:
Clean Technologies, Vol 5, Iss 4, Pp 1344-1380 (2023)
This study emphasises the growing relevance of hydrogen as a green energy source in meeting the growing need for sustainable energy solutions. It foregrounds the importance of assessing the environmental consequences of hydrogen-generating processes
Externí odkaz:
https://doaj.org/article/96e22b755e5f4b018aaf83d3e7d64778
Publikováno v:
AppliedMath, Vol 2, Iss 4, Pp 738-757 (2022)
The current handling of gas associated with oil production poses an environmental risk. This gas is being flared off due to the technical and economic attractiveness of this option. As flared gases are mainly composed of methane, they have harmful gr
Externí odkaz:
https://doaj.org/article/db4a645d963048c1a075e173bdd7a409
Autor:
Somtochukwu Godfrey Nnabuife, Eni Oko, Boyu Kuang, Abdulrauf Bello, Azikiwe Peter Onwualu, Sherry Oyagha, James Whidborne
Publikováno v:
Sustainable Chemistry for Climate Action, Vol 2, Iss , Pp 100024- (2023)
Hydrogen (H2) usage was 90 tnes (Mt) in 2020, almost entirely for industrial and refining uses and generated almost completely from fossil fuels, leading to nearly 900 Mt of carbon dioxide emissions. However, there has been significant growth of H2 i
Externí odkaz:
https://doaj.org/article/34e3f4aeccc8476c955d667924a33cb3
Autor:
Ogemdi Chinwendu Anika, Somtochukwu Godfrey Nnabuife, Abdulrauf Bello, Esuru Rita Okoroafor, Boyu Kuang, Raffaella Villa
Publikováno v:
Carbon Capture Science & Technology, Vol 5, Iss , Pp 100072- (2022)
The Paris Climate Agreement seeks to keep global temperature increases under 2° Celsius, ideally 1.5° Celsius. This goal necessitates significant emission reductions. By 2030, emissions are expected to range between 52 and 58 GtCO2e from their 2016
Externí odkaz:
https://doaj.org/article/c58c72181b8649bcbe5027666d334abb
Publikováno v:
Chemical Engineering Journal Advances, Vol 9, Iss , Pp 100215- (2022)
A method for classifying flow regimes is proposed that employs a neural network with inputs of extracted features from Doppler ultrasonic signals of flows using either the Discrete Wavelet Transform (DWT) or the Power Spectral Density (PSD). The flow
Externí odkaz:
https://doaj.org/article/5ad9b0b3d6aa4faa9809f7181fc2ea50
Publikováno v:
Digital Chemical Engineering, Vol 2, Iss , Pp 100012- (2022)
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed. This research systematically evaluates three different schemes with four
Externí odkaz:
https://doaj.org/article/89fcede83a124d5c869ba09e5236749f
Autor:
Boyu Kuang, Chengzhen Gu, Zeeshan A. Rana, Yifan Zhao, Shuang Sun, Somtochukwu Godfrey Nnabuife
Publikováno v:
Sensors, Vol 22, Iss 21, p 8393 (2022)
Background: The planetary rover is an essential platform for planetary exploration. Visual semantic segmentation is significant in the localization, perception, and path planning of the rover autonomy. Recent advances in computer vision and artificia
Externí odkaz:
https://doaj.org/article/25a205dd4c6b440380e3ceef367af612
Publikováno v:
Chemical Engineering Journal Advances, Vol 5, Iss , Pp 100060- (2021)
Multiphase flow is a prevalent topic in many disciplines, and flow regime identification is an essential foundation in multiphase flow research. Computer vision and deep learning have achieved numerous excellent models, but many have not demonstrated
Externí odkaz:
https://doaj.org/article/d64a687404bd4ea48bb46488f6fe6d66
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3048 (2021)
Visual navigation is an essential part of planetary rover autonomy. Rock segmentation emerged as an important interdisciplinary topic among image processing, robotics, and mathematical modeling. Rock segmentation is a challenging topic for rover auto
Externí odkaz:
https://doaj.org/article/1f664b23c9124184aef54f4e512f521f
Publikováno v:
Sensors, Vol 21, Iss 21, p 6996 (2021)
Sky and ground are two essential semantic components in computer vision, robotics, and remote sensing. The sky and ground segmentation has become increasingly popular. This research proposes a sky and ground segmentation framework for the rover navig
Externí odkaz:
https://doaj.org/article/2f99883e9da1496c99f2e4db30fb5c74