Showing 821 - 840 results of 2,583 for search '(( resources selection function ) OR (( source OR sources) detection functions ))', query time: 0.32s Refine Results
  1. 821

    Comparative Analysis of the Major Phenotypic Characters of 23 Kenaf Cultivars by Ziyi Zhu, Xiahong Luo, Xia An, Changli Chen, Tingting Liu, Lina Zou, Shaocui Li

    Published 2025-12-01
    “…The third category of higher dry skin yield and is suitable for high-yield varieties of kenaf, and the second category of excellent fibre quality; Affiliation function method analysis shows that ‘H368’, ‘Zhejiangxiaomao 2’ and ‘Zhe8310’ ranked higher, with the potential of selecting and breeding superior germplasm. …”
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  2. 822

    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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  3. 823

    A holistic framework for wetland placement and ecosystem service delivery by integrating landscape connectivity and participatory decision analysis in two Swedish catchments by Amir Rezvani, Marco Cavalli, Stefano Crema, Faruk Djodjic, Martyn Futter, Carla Sofia Santos Ferreira, Pan Haozhi, Zahra Kalantari

    Published 2025-10-01
    “…Both catchments drain into Lake Mälaren, a vital water resource in the region. These areas were selected for their socio-ecological relevance and the active involvement of local stakeholders in catchment management. …”
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  4. 824
  5. 825

    Blended clustering energy efficient routing and PUF based authentication in IoT enabled smart agriculture systems by Senthil Kumar Chandrasekaran, Vijay Anand Rajasekaran

    Published 2025-07-01
    “…The suggested architecture combines a new Blended Clustering Energy Efficient Routing (BCEER) protocol with an authentication mechanism based on Physical Unclonable Functions (PUFs) to respond to the main issues in resource-limited, sensor-oriented settings. …”
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  6. 826

    Comparison of the Characteristics of Hydrochar and Torrefied-Char of Traditional Chinese Medicine Residues by Zhiqiang Xu, Wenyu Ren, Shiliang Wu, Rui Xiao

    Published 2025-07-01
    “…Through analysis techniques such as Fourier-Transform Infrared Spectroscopy, X-Ray Diffraction, and Scanning Electron Microscopy, the changes in the crystal structure, chemical functional groups, and microscopic morphology of the carbonized products were deeply studied, and the carbon yield was measured. …”
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  7. 827

    A Novel Loss Minimization Algorithm for the 3-Port Converter in a Multi-Subgrid Microgrid by Rajarshi Basu, Mahesh Kumar Mishra

    Published 2024-01-01
    “…The integration of distributed energy resources and decentralized power generation through microgrids has transformed modern power systems. …”
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  8. 828

    MODEL FOR FORMING AN INFORMATION SYSTEM OF PROJECT TEAMS IN A SECURITY-ORIENTED SYSTEM by Oleh Zachko, Dmytro Kobylkin, Oleh Kovalchuk, Viacheslav Markov

    Published 2020-06-01
    “…Infrastructure design processes of the framework model of complex socio-technical systems for project management and human resource management programs, formation of a database of members of project BOS teams and their evaluation using the index method to optimize the selection of project team members in a security-oriented system were studied. …”
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  9. 829
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  12. 832
  13. 833
  14. 834

    Classification and identification of medical insurance fraud:  a case-based reasoning approach by Xiaodi Liu, Shasha Zhang, Zengwen Wang, Shitao Zhang

    Published 2025-07-01
    “…In addition, the selection of classification radius by traditional methods is often highly subjective. …”
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  15. 835

    Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

    Published 2025-05-01
    “…In terms of localization accuracy, the proposed method achieves an improvement of approximately 32.8% over other open source algorithms.…”
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  16. 836

    SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

    Published 2025-07-01
    “…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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  17. 837

    Molecular signature of selective microRNAs in Cyprinus carpio (Linnaeus 1758):a computational approach by Soumendu Ghosh, Manojit Bhattacharya, Avijit Kar, Basanta Kumar Das, Bidhan Chandra Patra

    Published 2019-03-01
    “…Their conserved nature in various organisms provide a good source of miRNA identification and characterization using comparative genomic approaches through the bio-computational tools. …”
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  18. 838

    DEVELOPMENT OF THE STATE SUPPORT FORMS PROJECTS IN INDUSTRIAL BUILDING by I. M. Meilanov, A. M. Esetova

    Published 2016-12-01
    “…In the course of the research the system, subject-functional and structural approaches were implemented to solve the problems set widening the scope of the complex approach to assessment of the current operating mechanism of the state financial support of the projects and financial volume; to criteria stipulation of the most effective projects contest selection: to the search of the investment resources accumulation instrument into industrial building.Results. …”
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  19. 839
  20. 840

    A Label Correction Learning Framework for Gully Erosion Extraction Using High-Resolution Remote Sensing Images and Noisy Labels by Chunhui Zhao, Yi Shen, Nan Su, Yiming Yan, Shou Feng, Wei Xiang, Yong Liu, Tianhao Zhao

    Published 2024-01-01
    “…To achieve this, we introduce three key components in the framework, including an adaptive correction loss function, a multitree refinement module, and a noise correction module. …”
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