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Journal of Intelligent Systems and Internet of Things
Volume 9 , Issue 2, PP: 65-77 , 2023 | Cite this article as | XML | Html |PDF

Title

A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks

  Marwa S. Mahdi Hussin 1 * ,   Mohammed Brayyich 2 ,   Mustafa Al-Tahee 3 ,   Tamarah A. Diame 4 ,   Sajad Ali Zearah 5 ,   Marwan Qaid Mohammed 6 ,   Salem Saleh Bafjaish 7

1  Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq
    (marwa.saad@turath.edu.iq)

2  Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq
    (m.r.brayyich@nust.edu.iq)

3  Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq
    (Mustafa.Al-Tahee@uoalfarahidi.edu.iq)

4  Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq
    (Tamarah.Alaa@Kunoozu.Edu.Iq)

5  Scientific Research Center, Al-ayen University, Thi-Qar, Iraq
    (sajad@alayen.edu.iq)

6  Fraunhofer IVI,85051, Ingolstadt, Germany
    (marwan.qaid.mohammed@ivi.fraunhofer.de)

7  College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
    (Salem.Bafjaish@gmail.com)

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Doi   :   https://doi.org/10.54216/JISIoT.090205

Received: February 19, 2023 Revised: May 13, 2023 Accepted: September 02, 2023

Abstract :

In the Smart city environment, sustainable sewage and wastewater management planning plays a crucial role in industry development. Wastewater management is a serious issue with inadequate treatment, which reduces the smart city efficiency. Therefore, this research work concentrates on creating the Strategic Planning Adaption framework (SP-AF) using the Recurrent Neural Networks (RNN). This framework intends to manage the sewage and wastewater in smart cities. The sewage-related information is continuously collected by a recurrent network that identifies and tracks the wastewater and sewage in the smart city. The SP-AF framework analyses sustainable planning and managing wastewater by understanding the waste origin. In addition, the framework has been generated by understanding the wastewater knowledge, and the required actions are carried out. Then the effectiveness of the wastewater management system efficiency is compared with the existing approaches.

Keywords :

Strategic planning Adaption Framework; Recurrent Neural Network; Sewage; Wastewater management and sustainable planning

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Cite this Article as :
Style #
MLA Marwa S. Mahdi Hussin, Mohammed Brayyich, Mustafa Al-Tahee, Tamarah A. Diame, Sajad Ali Zearah, Marwan Qaid Mohammed, Salem Saleh Bafjaish. "A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks." Journal of Intelligent Systems and Internet of Things, Vol. 9, No. 2, 2023 ,PP. 65-77 (Doi   :  https://doi.org/10.54216/JISIoT.090205)
APA Marwa S. Mahdi Hussin, Mohammed Brayyich, Mustafa Al-Tahee, Tamarah A. Diame, Sajad Ali Zearah, Marwan Qaid Mohammed, Salem Saleh Bafjaish. (2023). A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks. Journal of Journal of Intelligent Systems and Internet of Things, 9 ( 2 ), 65-77 (Doi   :  https://doi.org/10.54216/JISIoT.090205)
Chicago Marwa S. Mahdi Hussin, Mohammed Brayyich, Mustafa Al-Tahee, Tamarah A. Diame, Sajad Ali Zearah, Marwan Qaid Mohammed, Salem Saleh Bafjaish. "A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks." Journal of Journal of Intelligent Systems and Internet of Things, 9 no. 2 (2023): 65-77 (Doi   :  https://doi.org/10.54216/JISIoT.090205)
Harvard Marwa S. Mahdi Hussin, Mohammed Brayyich, Mustafa Al-Tahee, Tamarah A. Diame, Sajad Ali Zearah, Marwan Qaid Mohammed, Salem Saleh Bafjaish. (2023). A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks. Journal of Journal of Intelligent Systems and Internet of Things, 9 ( 2 ), 65-77 (Doi   :  https://doi.org/10.54216/JISIoT.090205)
Vancouver Marwa S. Mahdi Hussin, Mohammed Brayyich, Mustafa Al-Tahee, Tamarah A. Diame, Sajad Ali Zearah, Marwan Qaid Mohammed, Salem Saleh Bafjaish. A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks. Journal of Journal of Intelligent Systems and Internet of Things, (2023); 9 ( 2 ): 65-77 (Doi   :  https://doi.org/10.54216/JISIoT.090205)
IEEE Marwa S. Mahdi Hussin, Mohammed Brayyich, Mustafa Al-Tahee, Tamarah A. Diame, Sajad Ali Zearah, Marwan Qaid Mohammed, Salem Saleh Bafjaish, A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 9 , No. 2 , (2023) : 65-77 (Doi   :  https://doi.org/10.54216/JISIoT.090205)
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