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441
A Comparison of the Artificial Neural Network with Classical Methods in Corporate Credit Scoring
Published 2019-12-01“…The result of the study indicated that artificial neural networks which have higher success than logistic regression on the development sample, saw lower success on the out of sample data. Thus, while artificial neural networks show higher performance, it is concluded that logistic regression provides more consistent results, and it is thought that artificial neural networks can produce more consistent results by optimization of the iteration processes.…”
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442
Research on aerodynamic characteristics and control method of rigid-flexible variable camber wing
Published 2025-07-01“…In the wing configuration design, the optimal lift-to-drag ratio is used as the optimization objective, and the wing section mean line is parameterized to obtain the optimal rigid-flexible hybrid deformation configuration. …”
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443
Electricity pinch analysis method for flexibility supply-demand matching in power systems
Published 2025-10-01“…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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444
drugdevelopR: Planning of phase II/III drug development programs with optimal sample size allocation and Go/No-go decision rules in R
Published 2025-05-01“…Within a utility-based framework, methods for optimal designs were developed recently, i.e., optimal go/no-go decision rules (whether to stop or to proceed to phase III) and optimal sample sizes minimizing the cost while maximizing the chances of achieving the program objective. …”
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445
A Fish-Counting Method Using Fusion of Spatial Sensing and Temporal Information
Published 2024-12-01“…Acoustic methods, known for their low energy consumption and extensive detection range, are widely utilized for underwater fish counting. …”
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446
A Wavelet Decomposition Method for Estimating Soybean Seed Composition with Hyperspectral Data
Published 2024-12-01“…Accurate and efficient methods for predicting seed composition are essential for optimizing crop management and breeding strategies. …”
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447
A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks
Published 2025-07-01“…The proposed method maintains 83% performance stability during complex disruptions compared to 51–72% for alternative approaches, while keeping computational requirements feasible for practical deployment. …”
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448
Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems
Published 2025-03-01“…Combined with pheromone updating and Pareto front-end optimization, the method effectively resolves the conflict between vehicle capacity constraints and multi-objective optimization. …”
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449
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450
Research on Lightweighting Methods for 3D Building Models Based on Semantic Constraints
Published 2025-08-01“…Experimental results demonstrate that the proposed method significantly reduces the model's storage requirements while effectively preserving its semantic information.…”
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451
Exploring biomass pretreatment methods for sustainable biofuel production: a bibliometric analysis
Published 2025-05-01“…Abstract Biofuels offer a sustainable alternative to fossil fuels, utilizing renewable biomass feedstocks to meet the growing energy demand while reducing environmental impact. However, the efficiency of biofuel production heavily depends on the pretreatment methods used for conversion of biomass. …”
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452
What Is the Best NGS Enrichment Method for the Molecular Diagnosis of Monogenic Diabetes and Obesity?
Published 2015-01-01“…Nonetheless, the RainDance, SureSelect and HaloPlex enrichment methods led to the best sequencing coverage of the targets; while the Nextera method resulted in the poorest sequencing coverage. …”
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453
SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios
Published 2025-05-01“…Compared to the original CSTrack method, SDGTrack improved the MOTA and IDF1 scores by 16.7% and 33.3%, respectively, while significantly reducing the number of ID switches by 94.6%. …”
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454
Research on the design and performance of drill pipe joints based on fracture mechanics methods
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455
Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution
Published 2024-01-01“…Faced with such a problem, a TSA model based on the sample selection method is proposed in this paper. Sample selection aims to optimize the training set to speed up the training process while improving the preference of the TSA model. …”
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456
Methods integrating innate and adaptive immune responses in human in vitro immunization assays
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457
Designing High‐Performance, Manufacturing‐Friendly Rotor Blades for Micro Wind Turbines via Cambered Plate Airfoil Optimization
Published 2025-09-01“…ABSTRACT Conventional methods for manufacturing rotor blades, such as composite construction and die casting, are hindered by high costs due to expensive molds, while 3D printing often results in poor quality or high production costs with unfavorable cost‐per‐part scaling. …”
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458
Method for Selecting Combinations of Optical Chemosensory Materials for Identification of Vapor-Phase Ecotoxicants
Published 2024-09-01“…On the basis of the metric, a method for selecting optimal combinations is formulated. …”
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459
A method of treating discoloration in persons associated with exposure to harmful industrial factors
Published 2024-06-01“…INTRODUCTION. The search for the optimal bleaching method that minimizes the side effects of bleaching and prolongs the result of bleaching is an urgent task of dentistry.AIM. …”
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460
Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection
Published 2025-01-01“…More recently, the focus of research has shifted to hybrid approaches that merge several feature selection techniques to mitigate the weaknesses of one method while maximizing the strengths of others. This paper offers an extensive review on feature selection techniques for microarray data and focuses on evaluating the performance of different hybrid methods as an important research gap. …”
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