Zobrazeno 1 - 10
of 17
pro vyhledávání: '"BILAL ALAM KHAN"'
Autor:
Amin Ul Hasanat, Asif Hussain Khoja, Nida Naeem, Abdulaziz Al-Anazi, Rabia Liaquat, Bilal Alam Khan, Israf Ud Din
Publikováno v:
Results in Engineering, Vol 19, Iss , Pp 101333- (2023)
In this work, the biomass fly ash (BFA) supported Ni/La2O3 catalyst was synthesized for the first time to produce syngas, a mixture of CO and H2 via the partial oxidation of methane (POM). The BFA support was modified using laboratory synthesized Ni/
Externí odkaz:
https://doaj.org/article/4b82cba3ac56435b973e0c3a1428c734
Autor:
Amer Zaffar, Bilal Alam Khan, Asif Hussain Khoja, Uneeb Masood Khan, Qassam Sarmad, Muhammad Taqi Mehran, Salman Raza Naqvi, Majid Ali
Publikováno v:
Bulletin of Chemical Reaction Engineering & Catalysis, Vol 16, Iss 3, Pp 507-516 (2021)
The objective of this study was to analyze the catalytic performance of series of cobalt-modified Zeolite-4A supported catalysts for the syngas (CO and H2) production at 800 °C via the partial oxidation of methane (POM). The Co/Zeolite-4A catalyst w
Externí odkaz:
https://doaj.org/article/311ab7fcb1d14e059b6ea18c02947f15
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 280 (2021)
Volatile Organic Compounds (VOCs) are widely measured at ppb and ppt level in many contexts, from therapeutic drug control in respiratory diseases to monitoring of climate change and indoor air quality. The need for accuracy is a common denominator i
Externí odkaz:
https://doaj.org/article/576d319f24334f5ea0531d7a1d4af3ff
Autor:
Asif Hussain Khoja, Abul Kalam Azad, Faisal Saleem, Bilal Alam Khan, Salman Raza Naqvi, Muhammad Taqi Mehran, Nor Aishah Saidina Amin
Publikováno v:
Energies, Vol 13, Iss 22, p 5921 (2020)
The study experimentally investigated a novel approach for producing hydrogen from methane cracking in dielectric barrier discharge catalytic plasma reactor using a nanocatalyst. Plasma-catalytic methane (CH4) cracking was undertaken in a dielectric
Externí odkaz:
https://doaj.org/article/e232f1756e284ea3b26d4039f993289d
Autor:
REHMAT ALI, UM E HABIBA KARAMAT, HAFIZA SABA NAZIR, MIRZA MUHAMMED MOHSIN BAIG, BILAL ALAM KHAN, ASAD ULLAH, OSAMA USMAN, TANYA WASEEM, MUHAMMAD FARRUKH TAHIR
Publikováno v:
Fibres and Textiles. 30:74-90
Nanotechnology is an emerging technology in textile sector for the fabrication of functional textiles with different properties such as antibacterial, hydrophobicity, UV-protection, flame retardancy, anti-static and self-cleaning. In current COVID-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05e5a0b64453d2d8ab1d066080cb2ca3
https://doi.org/10.15240/tul/008/2023-2-008
https://doi.org/10.15240/tul/008/2023-2-008
Publikováno v:
Signal & Image Processing : An International Journal. 12:37-50
In this paper, different machine learning algorithms such as Linear Discriminant Analysis, Support vector machine (SVM), Multi-layer perceptron, Random forest, K-nearest neighbour, and Autoencoder with SVM have been compared. This comparison was cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::712123e04cae030666fcc3325ea760b3
https://doi.org/10.5121/sipij.2021.12603
https://doi.org/10.5121/sipij.2021.12603
Autor:
Jiri Militky, Tauqeer Riaz, Muhammad Tayyab Noman, Bilal Alam Khan, Muhammad Awais, Azam Ali, Mariyam Sattar
Publikováno v:
The Journal of The Textile Institute. 113:80-89
The polymer yarns are originally electrical insulators. Their structure does not provide valence electrons to conduct electrical current. The coating of carbon nanotubes (CNT) over the nylon yarn e...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116257b18af17b38ec8c8e96cecfa0e5
https://doi.org/10.1080/00405000.2020.1863569
https://doi.org/10.1080/00405000.2020.1863569
Publikováno v:
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1741a36e557b71421e288898eb1bbb5d
https://doi.org/10.1109/icscds53736.2022.9761016
https://doi.org/10.1109/icscds53736.2022.9761016
Publikováno v:
Web, Internet Engineering & Signal Processing.
In this paper, we propose a system for the purpose of classifying Electroencephalography (EEG) signals associated with imagined movement of right hand and relaxation state using machine learning algorithm namely Random Forest Algorithm. The EEG datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::067befdc6c94f7dca60d17781abaab99
https://doi.org/10.5121/csit.2021.112104
https://doi.org/10.5121/csit.2021.112104
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030914073
With current advancement in technology, it is expected and hoped that even a conditional or level 3 (L3) autonomous vehicle could alleviate older adults’ mobility issues. These conditional or level 3 autonomous vehicles allow the driver to engage i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c1dc36c8013f0bf0bdf05058127de7c
https://doi.org/10.1007/978-3-030-91408-0_5
https://doi.org/10.1007/978-3-030-91408-0_5
