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521
Building Fire Location Predictions Based on FDS and Hybrid Modelling
Published 2025-06-01“…Combining convolutional neural networks (CNNs) and support vector machines (SVMs) for prediction, the fire-source location prediction model with temperature, smoke, and CO concentration as feature quantities was constructed, and the hyperparameters affecting the model accuracy and generalisation were optimised by the Crested Porcupine Optimizer (CPO) algorithm. …”
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522
Optimized Construction of Highly Efficient P-Bi<sub>2</sub>MoO<sub>6</sub>/g-C<sub>3</sub>N<sub>4</sub> Photocatalytic Bactericide: Based on Source Material and Synthesis Process
Published 2025-05-01“…In this study, Bi<sub>2</sub>MoO<sub>6</sub> nanoflowers with different molybdenum sources were in situ grown on the surface of g-C<sub>3</sub>N<sub>4</sub> nanosheets (OCN) by a simple one-step solvothermal method. …”
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523
Load frequency control in autonomous microgrids using hybrid Algorithm GWO-CS based fuzzy logic sliding mode controller
Published 2025-03-01“…Load Frequency Control (LFC) in power systems remains a critical and challenging task for power system engineers, particularly in systems incorporating multiple power generation sources, including renewable energy. These sources add significant complexity due to their inherent variability and nonlinearity. …”
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524
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525
AC Optimal Power Flow Problem Considering Wind Energy by an Improved Particle Swarm Optimization
Published 2024-02-01“…This paper presents an AC Optimal Power ï¬ow (AC-OPF) problem of a power system, considering wind energy. …”
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526
Dimensional Synthesis of Parallel Robots Using Bilevel Optimization for Design Optimization and Resolution of Functional Redundancy
Published 2025-03-01“…However, this makes the method computationally demanding. The proposed computationally efficient approach for dimensional synthesis extends multi-objective particle swarm optimization with hierarchical constraints. …”
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527
Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm
Published 2025-03-01“…Furthermore, the optimization of IES scheduling is inherently a multi-dimensional nonlinear problem, where traditional intelligent optimization methods struggle to achieve satisfactory solution accuracy. …”
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528
Be aware of overfitting by hyperparameter optimization!
Published 2024-12-01“…In recent studies on solubility prediction the authors collected seven thermodynamic and kinetic solubility datasets from different data sources. They used state-of-the-art graph-based methods and compared models developed for each dataset using different data cleaning protocols and hyperparameter optimization. …”
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529
Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning
Published 2025-01-01“…Compared to traditional methods, the convergence speed and optimization performance are significantly improved. …”
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530
Improved grey wolf optimizer for optimal reactive power dispatch with integration of wind and solar energy
Published 2025-01-01“…It is a nonlinear multivariable problem of optimization, with multiconstraints. The purpose is to minimize real power losses and improve the voltage profile of a given electric system by adjusting control variables, such as generator voltages, tap ratios of a transformer, switching VAr sources, without violating technical constraints that are presented as equalities and inequalities. …”
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531
Optimal design of laminated composite and nanocomposite structures using evolutionary optimization techniques: a survey
Published 2024-09-01“…A strict selection method was employed to come up with this review paper, and only reputable literary sources were used. …”
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532
The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort
Published 2025-01-01“…The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear. …”
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533
Sparse Signal Recovery for Direction-of-Arrival Estimation Based on Source Signal Subspace
Published 2014-01-01“…After establishing the sparse representation of the source signal subspace, we propose a new method to estimate the direction of arrival (DOA) by solving an ℓ1-norm minimization for sparse signal recovery of the source powers. …”
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534
Progress in source-sink matching and safety evaluation of CO2 geological sequestration
Published 2023-06-01“…At present, China is in the implementation stage of the “dual carbon” goal, and there is still a lack of mature technical system in the economic boundary assessment, source-sink optimization and safety monitoring of geological sequestration of CO2. …”
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535
Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks
Published 2012-01-01“…In this paper, an effective method based on compressed sensing (CS) is proposed for multiple source locations in received signal strength-wireless sensor networks (RSS-WSNs). …”
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536
Photovoltaic Hosting Capacity Assessment of Distribution Networks Considering Source–Load Uncertainty
Published 2025-04-01“…To enhance the practical applicability and accuracy of hosting capacity evaluations, this paper proposes a PV hosting capacity assessment model that incorporates source–load uncertainty and constructs an alternative scenario optimization evaluation framework driven by target-oriented scenario generation. …”
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537
Two-layer asynchronous distributed optimal voltage control for VSC-HVDC-connected large-scale wind farm clusters
Published 2025-07-01“…This study proposes a two-layer asynchronous distributed optimal voltage control (TADOVC) scheme for voltage source converter high voltage direct current (VSC-HVDC)-connected large-scale wind farm clusters (WFCs). …”
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538
Resilience Enhancement for Distribution Networks Under Typhoon-Induced Multi-Source Uncertainties
Published 2025-06-01“…The results indicate that the proposed method can reduce the load loss cost of the system by 5.112 million and 0.2459 million, respectively.…”
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539
An Intelligent Regional Integrated Energy Dispatching Approach Considering Source-Load Uncertainty
Published 2025-01-01“…To address the problem of insufficient consideration of source load uncertainty in traditional scheduling models, a two-layer optimization model is proposed that combines non-parametric density estimation and copula theory to improve the traditional source load uncertainty modeling method. …”
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540
Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning
Published 2025-01-01“…Traditional detection methods face scalability limitations by relying solely on simple examples (e.g., AES). …”
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