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421
Enhanced skill optimization algorithm: Solution to the stochastic reactive power dispatch framework with optimal inclusion of renewable resources using large‐scale network
Published 2024-12-01“…Nowadays, thermal generators are no longer utilized and renewable resources (RERs) have been integrated owing to their marvellous benefits. …”
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422
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423
Characteristics of soil microbial phospholipid fatty acids in artificial, black-soil mountain degraded, and natural grasslands in the source region of the Three Rivers
Published 2025-08-01“…Background The source region of the Three Rivers is a concentrated distribution area of alpine grassland. …”
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424
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425
Utilizing Photothermal Effect Enhances Photocatalytic Water Splitting Coupled with Selective Benzyl Alcohol Oxidation over Schottky Junctions
Published 2025-07-01“…Herein, WC quantum dots decorated defective ZnIn2S4 nanosheets (DZIS/WCQDs) dual‐functional photocatalysts are fabricated. Its unique Schottky junctions and photothermal effect significantly promote the separation and transport efficiency of photogenerated carriers, as well as achieving synergistic enhancement of photocatalytic water splitting coupled with selective oxidation of benzyl alcohol (BA). …”
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426
Genetic Evaluation of Resilience Indicators in Holstein Cows
Published 2025-02-01Get full text
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427
Construction of Evaluation Model for Soil and Water Conservation Function of Vegetation at Community Scale
Published 2022-02-01Get full text
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428
Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions
Published 2025-06-01“…The computational complexity of airfoil optimization for aircraft wing designs typically involves high-dimensional parameter spaces defined by geometric variables, where each Computational Fluid Dynamics (CFD) simulation cycle may require significant processing resources. Therefore, performing variable selection to identify influential inputs becomes crucial for minimizing the number of necessary model evaluations, particularly when dealing with complex systems exhibiting nonlinear and poorly understood input–output relationships. …”
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429
The proteome of circulating extracellular vesicles and their functional effect on platelets vary with the isolation method
Published 2025-07-01“…Abstract Extracellular vesicles (EVs) play a crucial role in cell-to-cell communication and serve as a source of biomarkers in several pathologies. In this study, we aimed to characterize plasma-derived EVs isolated by ultracentrifugation (UC) or size exclusion chromatography (SEC) to define the best method for proteomic and functional studies. …”
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430
FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image
Published 2025-06-01“…Heterogeneous Synthetic Aperture Radar (SAR) image object detection task with inconsistent joint probability distributions is occurring more and more frequently in practical applications. …”
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431
Whole-Genome Sequencing Identifies Functional Genes for Environmental Adaptability in Chinese Geese
Published 2025-05-01Get full text
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432
Network security traffic detection and legal supervision based on adaptive metric learning algorithm
Published 2025-09-01Get full text
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433
App-DDoS detection method using partial binary tree based SVM algorithm
Published 2018-03-01“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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434
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435
A Contrast-Enhanced Approach for Aerial Moving Target Detection Based on Distributed Satellites
Published 2025-03-01“…This method compensates for the range difference rather than the target range. In the detection period, we develop two weighting functions, i.e., the Doppler frequency rate (DFR) variance function and smooth spatial filtering function, to extract prominent areas and make efficient detection, respectively. …”
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436
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Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing
Published 2025-01-01“…We further developed a self-powered, compact (<4.5 cm3) microsystem that integrates the shock sensor, a signal processing module, airbag triggering circuitry, and a high-g-resistant supercapacitor as a backup power source. The microsystem achieves ultra-fast shock detection and airbag activation with a delay of less than 0.2 ms. …”
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438
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439
Dynamic pricing‐based integration for non‐cooperative ubiquitous sensing and communication network
Published 2024-10-01“…The novelties include: (1) employing a price mechanism to foster resource cooperation in non‐cooperative networks; (2) introducing an SE metric incorporating an information similarity factor for optimization; (3) dynamically selecting resources to enhance SE. …”
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440