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Showing 301 - 320 results of 3,583 for search '((( resource OR sources) selection functions ) OR ( sources detection function ))', query time: 0.22s Refine Results
  1. 301

    Service Composition and Optimal Selection for Industrial Software Integration with QoS and Availability by Yangzhen Cao, Shanhui Liu, Chaoyang Li, Hongen Yang, Yuanyang Wang

    Published 2025-07-01
    “…To address the growing demand for industrial software in the digital transformation of small and medium-sized enterprises (SMEs) in the manufacturing sector, and to ensure the stable integration and operation of multi-source heterogeneous industrial software under complex conditions—such as heterogeneous compatibility, component dependencies, and uncertainty disturbances—this study established a comprehensive evaluation index system for service composition and optimal selection (SCOS). …”
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  2. 302
  3. 303

    Research on multi-source heterogeneous data fusion system based on device object model by Chen Yunqi

    Published 2025-01-01
    “…Analyze the main electromechanical equipment and attribute information of the mine, establish a unified equipment object model, and develop equipment sensor monitoring data configuration systems for multiple protocols such as PLC, OPC, and TCP. It has functions such as online visualization configuration of equipment object attribute information, autonomous selection of collection protocols, and adaptive configuration of distributed parsing services. …”
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  5. 305

    Genomic Signatures of Positive Selection and Local Adaptation in Ethiopian Sheep Populations by B. E. Demissie, G. M. Tarekegn, H. Dadi, Z. Edea, A. A. Woldesemayat, K-S Kim, S. Girma, T. Seyoum, K. Melaku, S. Keskes

    Published 2025-05-01
    “…Fixation index (FST) and cross-population extended haplotype homozygosity (XPEHH) methods were used to detect signatures of positive selection. Functional analysis revealed genes related to plateau adaptation, immune response, and tail fat formation. …”
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    Article
  6. 306

    The dynamics of sea otter prey selection under population growth and expansion by Clinton B. Leach, Benjamin P. Weitzman, James L. Bodkin, Daniel Esler, George G. Esslinger, Kimberly A. Kloecker, Daniel H. Monson, Jamie N. Womble, Mevin B. Hooten

    Published 2024-12-01
    “…We integrated these two data sources to investigate how sea otter diet changed in space and time as sea otters established and spread across Glacier Bay. …”
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  7. 307

    Selected Lectures of the Congress of Pediatrics; Cagliari (Italy); October 25, 2024 by --- Various Authors

    Published 2024-10-01
    “…FOCUS ON STAT6 GAIN-OF-FUNCTION MUTATIONS • I. Taietti, R. Castagnoli, A. …”
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    Article
  8. 308

    Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

    Published 2025-07-01
    “…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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    Article
  9. 309

    Acoustic Fabry–Perot Resonance Detector for Passive Acoustic Thermometry and Sound Source Localization by Yan Yue, Zhifei Dong, Zhi-mei Qi

    Published 2025-04-01
    “…Acoustic temperature measurement (ATM) and sound source localization (SSL) are two important applications of acoustic sensors. …”
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    Article
  10. 310

    Analytical Model and Gas Leak Source Localization Based on Acoustic Emission for Cylindrical Storage by Jun-Gill Kang, Kwang Bok Kim, Kyung Hwan Koh, Bong Ki Kim

    Published 2025-05-01
    “…A theoretical model is presented for the accurate detection of a gas leak source through a pinhole in a cylindrical storage vessel using the acoustic emission (AE) technique. …”
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    Normal T cell selection occurs in CD205-deficient thymic microenvironments. by William E Jenkinson, Kyoko Nakamura, Andrea J White, Eric J Jenkinson, Graham Anderson

    Published 2012-01-01
    “…The array of peptides utilized for positive selection appears to play a key role in shaping TCR repertoire and influencing T cell functionality. …”
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    Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization by Yifan Shi, Haixin Zeng, Xinrong Gong, Lei Cai, Wenjie Xiang, Qi Lin, Huijie Zheng, Jianqing Zhu

    Published 2025-06-01
    “…In real-world scenarios, raw multi-source data are generally unlabeled and inherently contain multi-view noise and feature redundancy, leading to extensive research on unsupervised multi-view feature selection. …”
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  17. 317

    Whey Proteins and Bioactive Peptides: Advances in Production, Selection and Bioactivity Profiling by Anna Luparelli, Daniela Trisciuzzi, William Matteo Schirinzi, Leonardo Caputo, Leonardo Smiriglia, Laura Quintieri, Orazio Nicolotti, Linda Monaci

    Published 2025-05-01
    “…It was originally considered a dairy industry waste, but upon its chemical characterization, it was found to be a precious source of bioactive components, growing in popularity as nutritional and functional food ingredients. …”
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  18. 318

    Using machine learning techniques for DSP software performance prediction at source code level by Weihua Liu, Erh-Wen Hu, Bogong Su, Jian Wang

    Published 2021-01-01
    “…Therefore, we propose a new algorithm called MAX/MIN algorithm to select the best-predicted execution time. To validate the new model, we measure experimentally the execution time of a set of functions selected from PHY DSP Benchmark and run them on TIC64 DSP processor. …”
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  19. 319

    Enhancing genomic prediction in Arabidopsis thaliana with optimized SNP subset by leveraging gene ontology priors and bin-based combinatorial optimization by Qingfang Ba, Heng Zhou, Zheming Yuan, Zhijun Dai

    Published 2025-06-01
    “…With the rapid development of high-density molecular marker chips and high-throughput sequencing technologies, genomic selection/prediction (GS/GP) has been widely applied in plant breeding. …”
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  20. 320

    An open-source tool for analysis and automatic identification of dendritic spines using machine learning. by Michael S Smirnov, Tavita R Garrett, Ryohei Yasuda

    Published 2018-01-01
    “…Our algorithm is rapid, flexible, has over 90% accuracy in spine detection, and bundled with our user-friendly, open-source, MATLAB-based software package for spine analysis.…”
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