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driven optimization » design optimization (Expand Search), process optimization (Expand Search)
driven optimization » design optimization (Expand Search), process optimization (Expand Search)
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461
Comprehensive Climate, Soil, Agronomic, and Management Dataset for Data-Driven Cotton Irrigation in NW China
Published 2025“…To demonstrate its utility, the dataset was validated through the application of advanced machine learning techniques, including reinforcement learning (RL) and algorithms such as DNN, XGBoost, MLP, and RF, to optimize irrigation strategies and simulate irrigation-yield relationships. …”
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462
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Overall flow of the HPDL-MIAIHD approach.
Published 2025“…Lastly, the Bayesian optimizer algorithm (BOA) is implemented for the hyperparameter selection of the DL technique. …”
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465
Details on database.
Published 2025“…Lastly, the Bayesian optimizer algorithm (BOA) is implemented for the hyperparameter selection of the DL technique. …”
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466
Architecture of EfficientNet.
Published 2025“…Lastly, the Bayesian optimizer algorithm (BOA) is implemented for the hyperparameter selection of the DL technique. …”
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467
Flow diagram of the proposed model.
Published 2025“…<div><p>Machine learning models are increasingly applied to assisted reproductive technologies (ART), yet most studies rely on conventional algorithms with limited optimization. This proof-of-concept study investigates whether a hybrid Logistic Regression–Artificial Bee Colony (LR–ABC) framework can enhance predictive performance in in vitro fertilization (IVF) outcomes while producing interpretable, hypothesis-driven associations with nutritional and pharmaceutical supplement use. …”
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468
Key parameters of the supercapacitor from [19].
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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469
Input Data to GA.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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470
Crossing mechanism.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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471
Accuracy of the supercapacitor modelling.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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472
Flowchart of the proposed methodology.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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473
Circuit for a complete SC cycle (SC reference).
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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474
Initial GA Criteria.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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475
Equivalent electrical model of SC.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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476
Initial population example.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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Key parameters of the modeled supercapacitor.
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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478
Circuit for a complete SC cycle (SC modeled).
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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479
Specifications of the used supercapacitor (EDLC).
Published 2025“…For the optimal adjustment of the electrical circuit model parameters, a Genetic Algorithm (GA) is used. …”
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480
Analysis of kinematics and leveling performance of a novel cable-driven parallel automatic leveling robot for spacecraft hoisting
Published 2025“…<p dir="ltr">In this paper, a novel parallel cable-driven automatic levelling robot with a two-stage adjustment function is proposed, which has the advantages of high load-bearing capacity and easy attitude adjustment. …”