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Showing 781 - 800 results of 2,814 for search '(resource OR source) selection function', query time: 0.29s Refine Results
  1. 781

    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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  2. 782
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    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. 785

    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. 786

    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. 787

    Ultramicroporous Tröger's Base Framework Membranes With Ionized Sub‐nanochannels for Efficient Acid/Alkali Recovery by Haopan Sun, Ning Gan, Yuqing Lin, Baolong Wu, Yulong Qiu, Jingwen Su, Ziding Zhou, Fengyin Zou, Jianguo Yu, Hideto Matsuyama

    Published 2025-03-01
    “…This study validates the novel applicability of polymer framework materials with ionized angstrom‐scale channels and versatile functionalities in high‐performance IEMs for acid/alkali resource recovery.…”
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  8. 788
  9. 789

    Leader’s discourse in responding to natural disaster: an appraisal analysis by T. Thyrhaya Zein, T. Syarfina, Muhammad Yusuf

    Published 2024-12-01
    “…He presents resources of positive, negative, and unbiased attitudes as a leader. …”
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  13. 793

    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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  14. 794

    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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    AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

    Published 2025-06-01
    “…We introduce an expanded dataset that includes an organic waste class and more heterogeneous images, and evaluate a range of quantized CNN models to reduce inference time and resource usage. Additionally, we explore ensemble strategies using aggregation functions to boost classification performance, and validate selected models on real embedded hardware and under simulated lighting variations. …”
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    Estimation of Groundwater Recharge from Rainfall for Arid Coastal Plain of Ninh Thuan Province, Vietnam by Nguyen Van Hoang, Trinh Thu, Shakirov Renat, Tran Thi Thuy Huong, Syrbu Nadezhda

    Published 2022-02-01
    “…Those parameters required for soil moisture transfer are derived from the soil-water characteristic curve functions. Element sizes and time steps used in the modelling have been selected based on a detailed analysis of numerical simulation errors. …”
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