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181
Enzymatic Extraction of Hawthorn Pectin Under Ultrahigh Pressure: Optimization and Characterization
Published 2025-05-01“…The optimized UHPEE process resulted in reductions in both the degree of esterification and molecular weight of the pectin, while concurrently increasing the content of total galacturonic acid and total polyphenols. …”
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182
Joint optimization for wind farm planning incorporating energy storage sizing
Published 2025-10-01“…This WF joint planning method unifies the optimizations across all layers into a single economic objective to pursue a balanced trade-off between overall costs and power generations. …”
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183
Evaluating Optimal Relationships for Estimating Suspended Sediment Discharge in the Balaroud River
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184
An optimized generative adversarial network for state estimator in electric power systems
Published 2025-10-01“…To address these challenges, an innovative state estimator based on a Wasserstein Generative Adversarial Network (WGAN) is proposed in this paper, implemented through two iterative optimization loops. In this approach, the data distribution is captured by the generative network, while the probability that sampled datasets originate from the training datasets is evaluated by the discriminative network. …”
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185
Smart Building Electrical Energy Optimization Through Neural Network Techniques
Published 2025-01-01“…This paper presents a new approach to optimizing the use of electrical energy in smart buildings using neural network techniques. …”
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186
Structural strength analysis and optimization of converter lug based on Kriging model
Published 2022-07-01“…As a result, for using traditional engineering optimization methods to optimize the converter structure, the optimization efficiency will be severely limited, since these methods need to invoke a large amount of simulations as function evaluations. …”
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187
Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction
Published 2025-08-01“…Finally, an adaptive ternary optimization mechanism is introduced in the exploration phase: a curve growth acceleration factor is used to collaboratively guide global and individual optimal information, while a hybrid adaptive cosine exponential weigh dynamically adjusts the search intensity. …”
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188
Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO
Published 2025-06-01“…These results highlight the importance of feature selection in optimizing classifiers for IoT intrusion detection , and achieved perfect scores (1,00) across all metrics.The aim from this paper is to enhance intrusion detection in iot networks by designing adual stage feature selection method based on RFE and PSO.…”
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189
Robust object counting through distribution uncertainty matching and optimal transport
Published 2025-08-01“…In this paper, we propose a method called DUMLO (Distribution Uncertainty Matching for Loss Optimization) that defines a loss function between a ground-truth density map and a target density map by modeling uncertainty over an augmented set of points. …”
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190
Multi-objective optimal scheduling of islands considering offshore hydrogen production
Published 2025-07-01“…To optimize the dispatch process, this study employs an improved Grey Wolf Optimizer (IGWO) combined with the Differential Evolution method to enhance population diversity and refine the position updating mechanism. …”
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191
Global Ocean Forecast Accuracy Improvement Due to Optimal Sensor Placement
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192
Optimization of protein-lipid comlex by its fatty acid and vitamin composition
Published 2021-07-01“…The present article presents the results of research aimed to creation of antioxidant-enriched protein-lipid complex (PLC) with the optimal ratio ω3: ω6 of PUFA. The ratio of lipid component was optimized by linear programming method, where the recommended ratio of ω-6: ω-3 of PUFA as 10: 1 was used as term of limitation. …”
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193
Damage Detection of Steel Roof Systems Using Planet Optimization Algorithm
Published 2025-10-01“…In this work, an inverse method for damage detection studies is developed based on Planet Optimization Algorithm (POA). …”
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194
POQ: Is There a Pareto-Optimal Quantization Strategy for Deep Neural Networks?
Published 2025-01-01“…This work presents a Pareto-Optimal Quantization (POQ) methodology aimed at mapping a neural network architecture to a specific hardware platform while systematically exploring the design space in between to identify the most effective quantization strategy. …”
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195
Classification of finger movements through optimal EEG channel and feature selection
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196
DISCO: Efficient Diffusion Solver for large-scale Combinatorial Optimization problems
Published 2025-09-01“…Despite recent advancements in neural solvers, their limited expressiveness struggles to capture the multi-modal nature of CO landscapes. While some research has adopted diffusion models, these methods sample solutions indiscriminately from the entire NP-complete solution space with time-consuming denoising processes, limiting scalability for large-scale problems. …”
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197
Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms
Published 2025-06-01“…Automated hyperparameter tuning is done with KerasTuner, while dropout and weight decay regularization methods are used to control overfitting. …”
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198
Fourier Analysis of CMFD Method in Cylindrical Geometry
Published 2025-06-01“…To address this instability, an optical diffusion CMFD method (odCMFD) strategy was implemented to optimize the original CMFD formulation based on cylindrical geometry. …”
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199
Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease
Published 2025-08-01“…Abstract Background and objectives Early and cost-effective identification of amyloid positivity is crucial for Alzheimer’s disease (AD) diagnosis. While amyloid PET is the gold standard, plasma biomarkers such as phosphorylated tau 217 (pTau217) provide a potential alternative. …”
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200
Multi-objective multi-workflow task offloading based on evolutionary optimization
Published 2025-08-01“…Simulation results demonstrate that our algorithm optimally balances delay and energy consumption requirements compared to existing methods, while enhancing the diversity and convergence of non-dominated solutions.…”
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