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    Quantifying Irrigation Water Demand through Optimized Daily Vapor Pressure Deficit Forecasting Using LSTM and Metaheuristic Algorithms

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    JCCEE5.CPENG-7139.pdf (3.520Mb)
    Date
    2026
    Author
    Alsumaiei, Abdullah A.
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    Abstract
    AbstractThis study presents a robust computational framework that integrates long short-term memory (LSTM) neural networks with four advanced metaheuristic optimization algorithms: Nondominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314491
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