Showing 341 - 360 results of 1,320 for search '((\ source selection function\ ) OR (( resourcessss OR resourcess) detection functions\ ))', query time: 0.23s Refine Results
  1. 341
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    Pre-design optimization of the manipulation system with hydraulic drive for mobile transport-technological machine by Lagerev I.A.

    Published 2017-03-01
    “…Also developed the original structure of a comprehensive objective function taking into account the additive effect of any number of important indicators of quality in the formation of the optimal variant of the de-signed construction. …”
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  3. 343

    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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  4. 344
  5. 345

    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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  6. 346

    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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  7. 347

    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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    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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  10. 350

    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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  11. 351

    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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    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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    Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI) by Dawid Maciejewski, Krzysztof Mudryk, Maciej Sporysz

    Published 2024-12-01
    “…This article devises the Artificial Intelligence (AI) methods of designing models of short-term forecasting (in 12 h and 24 h horizons) of electricity production in a selected Small Hydropower Plant (SHP). Renewable Energy Sources (RESs) are difficult to predict due to weather variability. …”
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    Effect of microstructure on lipolysis behavior of milk fat globules during gastrointestinal digestion by Xinyun Zhou, Ting Guo, Chen Chen, Hadiatullah Hadiatullah, Yunping Yao, Changmo Li, Xingguo Wang

    Published 2025-05-01
    “…Milk fat globules (MFG) are the primary source of energy and functional factor in dairy-based products. …”
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  20. 360

    A Census of the Stellar Populations in the Sco-Cen Complex by K. L. Luhman

    Published 2021-01-01
    “…I have used that cleaner sample to characterize the stellar populations in Sco-Cen in terms of their initial mass functions, ages, and space velocities. For instance, all of the populations in Sco-Cen have histograms of spectral types that peak near M4–M5, which indicates that they share similar characteristic masses for their initial mass functions (∼0.15–0.2 M _⊙ ). …”
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