Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Ayaz Hussain"'
Publikováno v:
IEEE Access, Vol 12, Pp 114894-114911 (2024)
Recent advancements in communication technology have transformed the way the industrial system works. This digitalization has improved the way of communication between different actors involved in cyber physical production systems (CPPS), such as use
Externí odkaz:
https://doaj.org/article/a094ea69a6db46358aca1dd20d27c5a2
Publikováno v:
Automatika, Vol 64, Iss 2, Pp 225-238 (2023)
Renewable energy sources, widely considered as distribution generation units, will be essential parts of the future electrical network. They will be integrated into the network at all voltage levels and act as the main controlling elements in the mic
Externí odkaz:
https://doaj.org/article/e944f71757574e33b70dbc536fb8d159
Autor:
Irum Hirra, Mubashir Ahmad, Ayaz Hussain, M. Usman Ashraf, Iftikhar Ahmed Saeed, Syed Furqan Qadri, Ahmed M. Alghamdi, Ahmed S. Alfakeeh
Publikováno v:
IEEE Access, Vol 9, Pp 24273-24287 (2021)
Accurate detection and classification of breast cancer is a critical task in medical imaging due to the complexity of breast tissues. Due to automatic feature extraction ability, deep learning methods have been successfully applied in different areas
Externí odkaz:
https://doaj.org/article/330b3d48e1154f1b982d5de2a42f0e61
Autor:
Ayaz Hussain Bukhari, Muhammad Sulaiman, Muhammad Asif Zahoor Raja, Saeed Islam, Muhammad Shoaib, Poom Kumam
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 5, Pp 3325-3345 (2020)
Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of research. In this study, an integrated bi-modal computing paradigm based on Nonlinear Autoregressive Radial Basis Functions (NAR-RBFs) neural network model, a ne
Externí odkaz:
https://doaj.org/article/83f3b2d3ff924e7c88dd2eb0e3cb8890
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 39, Iss 4, Pp 686-704 (2020)
The decreasing size of the transistor has increased the vulnerability towards faults. Increasing number of cores on a single chip has made the concept of Network on Chip (NoC) a standard communication backbone among cores. This facility comes with vu
Externí odkaz:
https://doaj.org/article/2477fcca5b154a2d93e49bdf0dab4297
Autor:
Zuhaibuddin Bhutto, Sikandar Ali Abbasi, Saeed Zaman Jamali, Salman Masroor, Jalal Shah, Murtaza Hussain Shaikh, Ayaz Hussain
Publikováno v:
International Journal of Energy Economics and Policy, Vol 12, Iss 2 (2022)
In the last two decades electricity shortage has hampered the economic growth of Pakistan. To overcome these crises, thermal power plants were commissioned to bridge the supply and demand gap. Deployment of thermal power generation resulted in an uns
Externí odkaz:
https://doaj.org/article/80d9c038ef0243ad8097938cba4d9c9f
Autor:
Ayaz Hussain Bukhari, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam, Muhammad Asif Zahoor Raja
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 1, Pp 101-116 (2020)
Research community has a growing interest in neural networks because of their practical applications in many fields for accurate modeling and prediction of the complex behavior of systems arising from engineering, economics, business, financial and m
Externí odkaz:
https://doaj.org/article/f7cf3edf44814bb7959cfc25156c100d
Autor:
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Muhammad Sulaiman, Saeed Islam, Muhammad Shoaib, Poom Kumam
Publikováno v:
IEEE Access, Vol 8, Pp 71326-71338 (2020)
Forecasting of fast fluctuated and high-frequency financial data is always a challenging problem in the field of economics and modelling. In this study, a novel hybrid model with the strength of fractional order derivative is presented with their dyn
Externí odkaz:
https://doaj.org/article/71a426f1e02f4119bbfa108df7e19821
Autor:
Sikander Ali Abbasi, Khanji Harijan, Irfan Ahmed Abbasi, Ayaz Hussain, Zuhaibuddin Bhutto, Syed Ali Raza Shah
Publikováno v:
Sukkur IBA Journal of Emerging Technologies, Vol 4, Iss 1 (2021)
Pakistan is heavily dependent on imported fuel for power generation. Depending on imported fuel has not only increased GHG emissions, but it has also put a burden on the national exchequer and raised apprehensions on energy security. This paper thus
Externí odkaz:
https://doaj.org/article/8f16cd9838c249309a42c696f3c36784
Autor:
Amjad Ali Channa, Nazeer Hussain Kalhoro, Zaheer Ahmed Nizamani, Ayaz Hussain Mangi, Jamila Soomro
Publikováno v:
RADS Journal of Biological Research & Applied Science, Vol 11, Iss 1 (2020)
Background: Poultry is largest and rapidly growing sector of livestock in Pakistan. It is mainly influenced by viral pathogens such as Newcastle Disease Virus (NDV) and Avian Influenza Virus (H7N3). These viruses cause severe disease in poultry and l
Externí odkaz:
https://doaj.org/article/7c14c58d56c546fb8f32e2acf1e84c33