Zobrazeno 1 - 10
of 335 722
pro vyhledávání: '"Syed IN"'
Autor:
Sreenivasulu Kutala, Harshavardhan Awari, Sangeetha Velu, Arun Anthonisamy, Naga Jyothi Bathula, Syed Inthiyaz
Publikováno v:
AIMS Environmental Science, Vol 11, Iss 4, Pp 551-575 (2024)
Lockdowns were implemented in nearly all countries in the world in order to reduce the spread of COVID-19. The majority of the production activities like industries, transportation, and construction were restricted completely. This unprecedented stag
Externí odkaz:
https://doaj.org/article/2a7e72e8df73422990ac4f86e1036931
Publikováno v:
Alexandria Engineering Journal, Vol 82, Iss , Pp 126-138 (2023)
Covid-19 has triggered a massive global challenge with 1,576,069 overall confirmed cases, 1,545,429 recovered cases, and 30,640 deaths across Pakistan. Epidemiological models have always played an important role in understanding the dynamics of such
Externí odkaz:
https://doaj.org/article/45c11c18e294426eb41cd24d53395b74
Publikováno v:
Sustainable Business and Society in Emerging Economies, Vol 5, Iss 3 (2023)
Purpose: The goal of this study is to determine how the Akhuwat Islamic Microfinance Mode (AIMM) affects several types of poverty in Pakistan, including absolute, moderate, and relative poverty. Design/Methodology/Approach: In this study, primary
Externí odkaz:
https://doaj.org/article/386edd41495a43b081da1dab78f2cda1
Autor:
Yujie Xie, Syed Inzimam Ul Haq, Xingyu Jiang, Dianfeng Zheng, Naijie Feng, Wenying Wang, Jin‐Sheng He, Quan‐Sheng Qiu
Publikováno v:
Grassland Research, Vol 1, Iss 4, Pp 234-243 (2022)
Abstract The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR‐associated protein 9 (Cas9) system is a fast‐growing, genome editing technology that has wide applications in identifying gene functions as well as improving a
Externí odkaz:
https://doaj.org/article/a494e564e5ac45f6b12f0802a6477088
Autor:
Rashid, Syed Md Mukit, Wu, Tianwei, Tu, Kai, Ishtiaq, Abdullah Al, Tanvir, Ridwanul Hasan, Dong, Yilu, Chowdhury, Omar, Hussain, Syed Rafiul
This paper proposes Proteus, a protocol state machine, property-guided, and budget-aware automated testing approach for discovering logical vulnerabilities in wireless protocol implementations. Proteus maintains its budget awareness by generating tes
Externí odkaz:
http://arxiv.org/abs/2409.02905
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e15710- (2023)
In this paper, an innovative mathematical approach is adopted to construct new formulation for exploring thermal characteristics in Jeffery Hamel flow between non-parallel convergent-divergent channels using non-Fourier's law. Due to the occurrence o
Externí odkaz:
https://doaj.org/article/242126c9c65443f9ae556ded920ef5f1
Autor:
Ubaid Ullah, Syed Inayat Ali Shah, Kottakkaran Sooppy Nisar, Hamid Khan, Naeem Ullah, Muhammad Yousaf
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
The current communication, manifest mathematical modelling and numerical computations of Sutterby nanofluids with radiant heat assessment subject to heat generation/absorption. The thermophoresis and Brownian motion effects are incorporated via the B
Externí odkaz:
https://doaj.org/article/0a3cf0bf5d774011866f693fcae964d1
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 5311-5322 (2021)
The analysis of Oldroyd fluids; a class of Maxwell fluids which also bears Newtonian properties under some conditions, has important implications for different scientific and engineering/industrial applications. Examples of these fluids are typically
Externí odkaz:
https://doaj.org/article/0a2fefb3005245bfb3b92172c1353d5c
Autor:
Shah, Syed Najaf Haider, Semper, Sebastian, Khan, Aamir Ullah, Schneider, Christian, Robert, Joerg
Integrated Sensing and Communication (ISAC) is a technology paradigm that combines sensing capabilities with communication functionalities in a single device or system. In vehicle-to-everything (V2X) sidelink, ISAC can provide enhanced safety by allo
Externí odkaz:
http://arxiv.org/abs/2411.03191
This paper explores the detection and localization of cyber-attacks on time-series measurements data in power systems, focusing on comparing conventional machine learning (ML) like k-means, deep learning method like autoencoder, and graph neural netw
Externí odkaz:
http://arxiv.org/abs/2411.02248