Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Haseeb Zafar"'
Autor:
Abbas Ali, Abdullah Shah, Azaz Hassan Khan, Malik Umar Sharif, Zaka Ullah Zahid, Rabia Shahid, Tariqullah Jan, Mohammad Haseeb Zafar
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 1-14 (2024)
Software-based technical indicators have been widely used for the stock market forecasting, aiming to predict market direction. Even though many algorithms for the software based technical indicators are presented, there are almost no hardware implem
Externí odkaz:
https://doaj.org/article/5ebb1edb2cba4c32940e111990de78ac
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101873- (2024)
The mobile Internet business is rapidly developing, leading to a demand for higher data service rates. To address this, massive Multiple-Input Multiple-Output (MIMO) technology has gained widespread attention due to its ability to fully exploit spati
Externí odkaz:
https://doaj.org/article/bcee6931c96647a8bc2e96e94a3ca471
Autor:
Jawad Ali, Mohammad Haseeb Zafar
Publikováno v:
Alexandria Engineering Journal, Vol 72, Iss , Pp 657-672 (2023)
QoS is an arguable feature of Message Queuing Telemetry Transport Protocol (MQTT) that is employed under constrained environment for communication over an unreliable network in smart cities. It gives extra control to the client for matching its needs
Externí odkaz:
https://doaj.org/article/91a6491957c04c01bcee40eb62c20af2
Autor:
Syed Asghar Ali Shah, Tariqullah Jan, Syed Muslim Shah, Muhammad Asif Zahoor Raja, Mohammad Haseeb Zafar, Sana Ul Haq
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0304018 (2024)
Fractional order algorithms demonstrate superior efficacy in signal processing while retaining the same level of implementation simplicity as traditional algorithms. The self-adjusting dual-stage fractional order least mean square algorithm, denoted
Externí odkaz:
https://doaj.org/article/8d846aa56e2c41cd95eb5d979527b5fb
Autor:
Ali, Jawad, Haseeb Zafar, Mohammad
Publikováno v:
In Alexandria Engineering Journal 1 June 2023 72:657-672
Publikováno v:
Digital Communications and Networks, Vol 8, Iss 6, Pp 1122-1129 (2022)
With the rapid development of wireless technologies, wireless access networks have entered their Fifth-Generation (5G) system phase. The heterogeneous and complex nature of a 5G system, with its numerous technological scenarios, poses significant cha
Externí odkaz:
https://doaj.org/article/d53e65621c0e44d08d89b60dd3d62736
Publikováno v:
Sensors, Vol 24, Iss 5, p 1423 (2024)
In this paper, a novel Multi-Objective Hypergraph Particle Swarm Optimization (MOHGPSO) algorithm for structural health monitoring (SHM) systems is considered. This algorithm autonomously identifies the most relevant sensor placements in a combined f
Externí odkaz:
https://doaj.org/article/856dbe74a0d14381826c390e8b80bad6
Autor:
Azaz Hassan Khan, Abdullah Shah, Abbas Ali, Rabia Shahid, Zaka Ullah Zahid, Malik Umar Sharif, Tariqullah Jan, Mohammad Haseeb Zafar
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0286362 (2023)
Stock market forecasting is one of the most challenging problems in today's financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) method
Externí odkaz:
https://doaj.org/article/044ab253743b4e608d186262187f685f
Publikováno v:
IEEE Access, Vol 9, Pp 47033-47047 (2021)
Routing protocols in Mobile Ad Hoc Networks (MANETs) play a pivotal role in ensuring quality of service (QoS) and improving network performance. Selection of optimal routing protocol and suitable parameters for a given network scenario is a major tas
Externí odkaz:
https://doaj.org/article/db30888ba433487ba22aa2474b5bf679
Publikováno v:
Sensors, Vol 22, Iss 24, p 9751 (2022)
Unreliable networks often use excess bandwidth for data integration in smart cities. For this purpose, Messaging Queuing Telemetry Transport (MQTT) with a certain quality of service (QoS) is employed. Data integrity and data security are frequently c
Externí odkaz:
https://doaj.org/article/ea8446bb33e34aa9bf3d3a1d1f1b2b36