Search Results - (( based irrigation function algorithm ) OR ( java application customization algorithm ))

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    Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies by Valikhan-Anaraki, Mahdi, Mousavi, Sayed-Farhad, Farzin, Saeed, Karami, Hojat, Ehteram, Mohammad, Kisi, Ozgur, Fai, Chow Ming, Hossain, Md Shabbir, Hayder, Gasim, Ahmed, Ali Najah, El-Shafie, Amr H., Hashim, Huzaifa, Afan, Haitham Abdulmohsin, Lai, Sai Hin, El-Shafie, Ahmed

    Published 2019
    “…In addition, a multicriteria decision-making model based on the vulnerability, reliability, and reversibility indices and the objective function performed better with the new HA than with the BA, PSOA, genetic algorithm (GA), and shark algorithm (SA) in terms of providing for downstream irrigation demands. © 2019 by the authors.…”
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  3. 3

    Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm by Ehteram, Mohammad, P. Singh, Vijay, Karami, Hojat, Hosseini, Khosrow, Dianatikhah, Mojgan, Hossain, Md., Ming Fai, Chow, El-Shafie, Ahmed

    Published 2018
    “…One critical part of this problem is supplying sufficient water to meet irrigation demands for agricultural production. The present study introduced an improved weed algorithm for reservoir operation with the aim of decreasing irrigation deficits. …”
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    Design and implementation of solar-powered with IoT-Enabled portable irrigation system by Roshahliza, M. Ramli, Jabbar, Waheb A.

    Published 2022
    “…The proposed irrigation system updates the gathered information from sensors (moisture, temperature, and humidity) using an integrated algorithm to the Blynk IoT cloud in real-time. …”
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  6. 6

    Sustainable Smart Irrigation System (SIS) using solar PV with rainwater harvesting technique for indoor plants by Islam, Syed Zahurul, Kamarudin, Muhammad Saufi, Abdullah, Mohd Noor, Mohaffyza, Mimi, Sern, Lai Chee, Othman, Mohammad Lutfi, Uddin, Jasim

    Published 2025
    “…The IoT system consists of soil moisture sensor with GSM module powered by PV and an algorithm was developed to adjust irrigation schedules based on soil moisture data. …”
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    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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    Thesis
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    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Water level predictio for Limbang basin using multilayer perceptron (mlp) and radial basis function (rbf) neural network by Muhammad Noor Hisyam, Abg Hashim

    Published 2010
    “…Multilayer Perceptron (MLP) and Radial Basis Function (RBF) were adopted in this study. MLP is trained with conjugate gradient algorithms, trainscg and RBF with newrb. …”
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    Final Year Project Report / IMRAD
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    Implementation of machine learning algorithms for streamflow prediction of Dokan dam by Sarmad Dashti Latif, Mr.

    Published 2023
    “…The input combinations are selected based on the auto-correlation function (ACF). Dokan dam in Iraq was selected as the case study for this research. …”
    text::Thesis
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    Reservoir water release dynamic decision model based on spatial temporal pattern by Suriyati, Abdul Mokhtar

    Published 2016
    “…The data used in this study was obtained from the Perlis Department of Irrigation and Drainage. The modified Sliding Window algorithm was used to construct the rainfall temporal pattern, while the spatial information was established by simulating the mapped rainfall and reservoir water level pattern. …”
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    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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    Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq by Yaseen, Z.M., Jaafar, O., Deo, R.C., Kisi, O., Adamowski, J., Quilty, J., El-Shafie, A.

    Published 2016
    “…Based on the partial autocorrelation functions of historical stream-flow data, a set of five input combinations with lagged stream-flow values are employed to establish the best forecasting model. …”
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