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Showing 681 - 700 results of 2,295 for search '((\ source selection function\ ) OR (( resource OR resourcesss) detection functions\ ))', query time: 0.32s Refine Results
  1. 681

    A Novel Overload Control Algorithm for Distributed Control Systems to Enhance Reliability in Industrial Automation by Taikyeong Jeong

    Published 2025-05-01
    “…The proposed method is integrated with a modular multi-functional processor (MFP) architecture, designed to enhance system reliability, optimize resource utilization, and improve fault resilience under dynamic operational conditions. …”
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    Article
  2. 682

    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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  3. 683
  4. 684

    SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

    Published 2025-07-01
    “…In addition, the edge constraint module is used to constrain boundary pixels and reduce semantic ambiguity. The weighted loss function supervises and optimizes each module separately to enable the network to acquire the optimal feature representation. …”
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  5. 685

    Multi-objective optimization models for power load balancing in distributed energy systems by Zhuo Wang, Yuchen Luo, Wei Wu, Lei Cao, Zhun Li

    Published 2025-08-01
    “…Uncertainty and several competing criteria on the demand and generation sides make multi-objective optimization difficult. Selecting a model capable of resolving scheduling issues related to loads and dispersed energy sources is, therefore, essential. …”
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  6. 686

    Regional-Scale Energy Modelling for Developing Strategies to Achieve Climate Neutrality by Janusz Zyśk, Artur Wyrwa, Maciej Raczyński, Marcin Pluta, Wojciech Suwała

    Published 2025-04-01
    “…In the framework of analysis, the 3E (Energy–Economy–Environment) class optimisation model was developed. The objective function includes the costs of energy in the medium and long term. …”
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  7. 687

    Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

    Published 2024-12-01
    “…IntroductionImproving field operations through precise spot planting rates depends on the accurate functioning of seed flow sensors within the working rows. …”
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  8. 688
  9. 689

    Aligning metrics with meaning: considerations for measurement selection in disability evaluation by Elizabeth Marfeo, Elizabeth Marfeo, Elizabeth K. Rasch, Kathleen Coale, Julia Porcino, Leighton Chan

    Published 2025-08-01
    “…In contrast, performance-based assessments, while useful in certain clinical scenarios, are often resource-intensive and may not accurately reflect real-world functioning. …”
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  10. 690
  11. 691

    Spatio-temporal dynamics of ecosystem service value functions in response to landscape fragmentation in Boma-Gambella trans-boundary landscape, Southwest Ethiopia and East South Su... by Azemir Berhanu Getahun, Amare Bantider Dagnew, Desalegn Yayeh Ayal

    Published 2025-07-01
    “…Utilizing integrated spatial modeling tools such as ArcGIS 10.7, FRAGSTAT 4.2, and benefit transfer approach, the research analyzes landscape fragmentation and the dynamics of ecosystem service value functions. The findings indicate a significant conversion of natural landscapes, resulting in increased fragmentation, a reduction in ecological land, altered landscape metrics and intensified trade-offs and mismatches in ecosystem service value functions. …”
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    Article
  12. 692

    Effects of preoperative and postoperative resistance exercise interventions on recovery of physical function in patients undergoing abdominal surgery for cancer: a systematic revie... by David Stephensen, Ferhana Hashem, Kevin Corbett, Amanda Bates, Michelle George, Ralph Peter Hobbs, Malcolm Hopkins, Irena Hutchins, David Peter Lowery, Tracy Pellatt-Higgins, Charitini Stavropoulou, Ian Swaine, Lee Tomlinson, Hazel Woodward, Haythem Ali

    Published 2018-12-01
    “…Objective To systematically review the effects of preoperative and postoperative resistance exercise training on the recovery of physical function in patients undergoing abdominal surgery for cancer.Data sources A systematic review of English articles using Medline, Physiotherapy Evidence Database, CINAHL and the Cochrane Library electronic databases was undertaken.Eligibility criteria for selecting studies Studies were included if they used a randomised, quasi-randomised or controlled trial study design and compared the effects of a muscle-strengthening exercise intervention (±other therapy) with a comparative non-exercise group; involved adult participants (≥18 years) who had elected to undergo abdominal surgery for cancer; and used muscle strength, physical function, self-reported functional ability, range of motion and/or a performance-based test as an outcome measure.Results Following screening of titles and abstracts of the 588 publications retrieved from the initial search, 24 studies met the inclusion criteria and were accessed for review of the full-text version of the article, and 2 eligible studies met the inclusion criteria and were included in the review. …”
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  13. 693

    Extension Doping with Low‐Resistance Contacts for P‐Type Monolayer WSe2 Field‐Effect Transistors by Sihan Chen, Yue Zhang, William P. King, Rashid Bashir, Arend M. van der Zande

    Published 2025-06-01
    “…These results define strategies for nanometer‐scale selective‐area doping in 2D FETs and other 2D architectures.…”
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  14. 694

    Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

    Published 2025-04-01
    “…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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  15. 695

    Toward Compliance and Transparency in Raw Material Sourcing With Blockchain and Edge AI by Abderrahim Khiari, Anas Osman, Massimo Vecchio, Mattia Antonini, Miguel Pincheira

    Published 2025-01-01
    “…This low-power device enables real-time detection of shipment anomalies such as tampering or unauthorized access, even in offline and resource-limited environments. …”
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  16. 696

    Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

    Published 2025-06-01
    “…The proposed dataset serves as a valuable resource for advancing research in the realm of brain-computer interfaces and offers insights into identifying EEG patterns associated with stress.The proposed dataset serves as a valuable resource for researchers, offering insights into identifying EEG patterns that correlate with different stress states. …”
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  20. 700

    Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

    Published 2025-04-01
    “…Conversely, alpha event-related synchronization (ERS) in the parietal and occipital regions, as well as ERS in the frontal, central, and temporal regions, were significantly lower in the experimental group compared to the control group. The source-functional connectivity results revealed that the primary differences between the experimental and control groups were concentrated between the left V1 and right V1, as well as among the posterior parietal cortex (PPC), dorsolateral prefrontal cortex (DLPFC), and primary motor cortex (M1). …”
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