Zobrazeno 1 - 10
of 551
pro vyhledávání: '"Band Shahab"'
Autor:
Rahman, Anichur, Islam, Md. Jahidul, Islam, Rafiqul, Aziz, Ayesha, Kundu, Dipanjali, Sazzad, Sadia, Karim, Md. Razaul, Hasan, Mahedi, Rahman, Ziaur, Elnaffar, Said, Band, Shahab S.
Blockchain (BC) and Software Defined Networking (SDN) are some of the most prominent emerging technologies in recent research. These technologies provide security, integrity, as well as confidentiality in their respective applications. Cloud computin
Externí odkaz:
http://arxiv.org/abs/2211.15013
Autor:
Mumtaz, Nadia, Ejaz, Naveed, Habib, Shabana, Mohsin, Syed Muhammad, Tiwari, Prayag, Band, Shahab S., Kumar, Neeraj
The Big Video Data generated in today's smart cities has raised concerns from its purposeful usage perspective, where surveillance cameras, among many others are the most prominent resources to contribute to the huge volumes of data, making its autom
Externí odkaz:
http://arxiv.org/abs/2209.11680
Autor:
Chen, Weibin, Sharifrazi, Danial, Liang, Guoxi, Band, Shahab S., Chau, Kwok Wing, Mosavi, Amir
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, 2022
Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid dynamics (CFD) is considered as
Externí odkaz:
http://arxiv.org/abs/2204.05476
Autor:
Parisouj, Peiman a, c, Jun, Changhyun b, ⁎, 1, Bateni, Sayed M. c, d, Heggy, Essam e, f, Band, Shahab S. g, ⁎, 1
Publikováno v:
In Results in Engineering December 2024 24
Autor:
Band, Shahab S., Qasem, Sultan Noman, Ameri, Rasoul, Pai, Hao-Ting, Gupta, Brij B., Mehdizadeh, Saeid, Mosavi, Amir
Publikováno v:
In Alexandria Engineering Journal October 2024 105:613-625
Autor:
Band, Shahab S., Ameri, Rasoul, Qasem, Sultan Noman, Mehdizadeh, Saeid, Gupta, Brij B., Pai, Hao-Ting, Shahmirzadi, Danyal, Salwana, Ely, Mosavi, Amir
Publikováno v:
In Heliyon 15 January 2025 11(1)
Autor:
Jun, Changhyun, Kim, Dongkyun, Bateni, Sayed M., Qasem, Sultan Noman, Mansor, Zulkefli, Band, Shahab S., Parsadoust, Farzad, Choubin, Bahram, Pai, Hao-Ting
Publikováno v:
In Environmental Impact Assessment Review January 2025 110
In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to forecast this parameter at Tabriz in East Azerbaijan. Various input pat
Externí odkaz:
http://arxiv.org/abs/2202.12256
Autor:
Rezaie, Maedeh, Kariminia, Shahab, Band, Shahab S., Ameri, Rasoul, Farokhi, Maryam, Pai, Hao-Ting, Gocer, Ozgur, Rismanchi, Behzad, Shooshtarian, Salman
Publikováno v:
In Journal of Building Engineering 15 July 2024 89
Publikováno v:
In Engineering Applications of Artificial Intelligence April 2024 130