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Showing 281 - 300 results of 2,583 for search '((( resource OR sourcess) selection function ) OR ( sources detection function ))', query time: 0.35s Refine Results
  1. 281

    Exploration of crop germplasm resources knowledge mining in Chinese ancient books: a route toward sustainable agriculture by Wenjuan Zhao, Suoling Zhu, Yuan Cao

    Published 2025-04-01
    “…It is found that the descriptive texts on rice in Chinese ancient local chronicles not only contain the knowledge about the morphological characteristics of rice germplasm resources gained by field observation, but also involve the experience about the inherent attributes summarized by hands-on practice, such as the function, quality, phenology, customs, etc. …”
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    Article
  2. 282

    Is Clonal Integration a Buffer for the Stress of Resource Acquisition Depletion in <i>Eichhornia crassipes</i> (Pontederiaceae) Ramets? by Guilherme Ramos Demetrio, Dalton Serafim, Flávia de Freitas Coelho

    Published 2024-11-01
    “…Natural selection favors the allocation of finite resources to different functions maximizing fitness. …”
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    Article
  3. 283

    Impact of Artificial Intelligence on Human Resource Management Practices: A Qualitative Study in Hyderabad, Pakistan’s Banking Sector by Sahar Akhtar Mughal, Mohammed Bilal Memon, Faraz Ali Memon

    Published 2025-06-01
    “… Artificial Intelligence (AI) is reshaping the way Human Resource Management (HRM) functions within organizations. …”
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    Article
  4. 284

    Is there a future for livestock in a sustainable food system? Efficiency, sufficiency, and consistency strategies in the food-resource nexus by Isabel Jaisli, Gianluca Brunori

    Published 2024-12-01
    “…Livestock production has been identified as the most relevant factor for the sustainability of future food system and is anticipated to be increasingly influenced by competition for critical resources such as land and water, the rivalry between food and feed, and the imperative to function within a carbon-constrained economy. …”
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    Article
  5. 285

    RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

    Published 2025-08-01
    “…Existing commercial systems are costly and inflexible for customization, while current open-source tools are often lack of real-time functionality and suffer from steep learning curve. …”
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  6. 286
  7. 287

    Forest Succession and Maternity Day Roost Selection by Myotis septentrionalis in a Mesophytic Hardwood Forest by Alexander Silvis, W. Mark Ford, Eric R. Britzke, Nathan R. Beane, Joshua B. Johnson

    Published 2012-01-01
    “…For northern bats, we suggest that day-roost selection is not a function of differences between individual tree species per se, but rather of forest successional patterns, stand and tree structure. …”
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  8. 288

    A Comparative Analysis of Three Data Fusion Methods and Construction of the Fusion Method Selection Paradigm by Ziqi Liu, Ziqiao Yin, Zhilong Mi, Binghui Guo, Zhiming Zheng

    Published 2025-04-01
    “…Finally, we introduce a fusion method selection paradigm for selecting the most appropriate fusion method prior to task execution and demonstrate its effectiveness through extensive numerical experiments. …”
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    Article
  9. 289

    More Choosy for Minor Foods: Diet, Seasonality and Food Selection in Sympatric Frugivorous and Folivorous Lemurs by Mitchell T. Irwin, Vololonirina Rahalinarivo, Bruno Ramorasata, Jean‐Luc Raharison, Jean‐Freddy Ranaivoarisoa, Chloé N. M. Gherardi, Jessica M. Rothman

    Published 2025-03-01
    “…This indicates a balancing function: frugivores selecting leaves strategically to compensate for low‐protein, low‐mineral fruit and folivores selecting fruit/seed to compensate for low‐energy leaves. …”
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    Article
  10. 290

    A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

    Published 2015-08-01
    “…Then the maximum likelihood estimator is employed to establish the objective function which is used to estimate the location of sources. …”
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    Article
  11. 291

    Fast detection method for radionuclides based on Sequential Bayesian approach by WAN Linjian, ZHANG Xuan, ZHANG Chunlei, HUANG Jianwei, LIU Jiacheng, ZHANG Xiaole, LI Dehong, YANG Zhijun

    Published 2025-01-01
    “…Finally, experimental verifications were conducted on the feasibility, detection performance, and universality of the method by placing a set of standard point sources at different distances from the front of a LaBr3(Ce) detection system in both low and natural radiation background environments. …”
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  12. 292

    Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

    Published 2024-11-01
    “…This paper explored how artificial intelligence (AI) could predict physical function scores from various patient data sources and reviewed methods to measure objective physical function using this technology. …”
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    Article
  13. 293

    Joint Multifractal Analysis and Source Testing of River Level Records Based on Multifractal Detrended Cross-Correlation Analysis by Liang Wu, Manling Wang, Tongzhou Zhao

    Published 2020-01-01
    “…It is important for the detection of change in multifractality in space. Besides, the cross-correlations in two analyzed series make the analysis of sources of joint multifractality difficult. …”
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    Article
  14. 294

    Secure and Fair Cluster Head Selection Protocol for Enhancing Security in Mobile Ad Hoc Networks by B. Paramasivan, M. Kaliappan

    Published 2014-01-01
    “…The secure routing protocols perform very basic security related functions which are not sufficient to protect the network. …”
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  15. 295

    Vehicular cache nodes selection algorithm under load constraint in C-V2X by Zhexin XU, Kaimeng GAO, Wenkang JIA, Yi WU

    Published 2021-03-01
    “…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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  16. 296

    Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

    Published 2021-06-01
    “…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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  17. 297

    Selective Age Effects on Visual Attention and Motor Attention during a Cued Saccade Task by Wendy E. Huddleston, Brad E. Ernest, Kevin G. Keenan

    Published 2014-01-01
    “…The shift in relations among attention measures between the younger and older participants may indicate a need to prioritize attentional resources with age. These changes may impact an older adult’s ability to function in complex environments.…”
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  18. 298

    Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection by Saeedeh Ghazi, Saeed Farzi, Amirhossein Nikoofard

    Published 2025-01-01
    “…The method integrates data and system heterogeneity, along with selection history, into the reward function, and leverages Jain&#x2019;s fairness index to balance selection frequency with client diversity. …”
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  19. 299

    Conceptual principles of formation and functioning of vertically integrated structures by V.A. Topilo, V.K. Danylko

    Published 2021-03-01
    “…Based on the decomposition analysis, the paper clarifies the concept of «vertically integrated structure», which should be understood as a form of functioning the business structure, that arose by combining financial, production, labor resources of various organizational and legal forms related to the technological cycle (the process of supply, production and sale of products) in order to obtain maximum synergy and strategic competitive advantages. …”
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  20. 300

    Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

    Published 2024-12-01
    “…An algorithm for detecting infrasound signals by calculating the cross-correlation function between records of individual sensors in a array is described. …”
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    Article