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Showing 1,121 - 1,140 results of 2,583 for search '((( resource OR resources) selection functions ) OR ( source detection functions ))', query time: 0.32s Refine Results
  1. 1121
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    Advancing wind energy potential estimation through multidistribution wind speed analysis in coastal Pakistan by Ghulam Abbas, Arshad Ali, Zohaib Mushtaq, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

    Published 2025-05-01
    “…The assessment of wind energy potential is critical to the optimization of resource application and improvement of technologies. …”
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    Article
  3. 1123

    Analysis of variant interactions in families with autism points to genes involved in the development of the central nervous system. by Jacek Kaczyński, Marta Pasenkiewicz-Gierula

    Published 2025-01-01
    “…Analysis of the statistical interactions also points to genes whose biological functions are not yet known.…”
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    Article
  4. 1124

    Transcriptomic Profiling of Fruit Development in Black Raspberry Rubus coreanus by Qing Chen, Xunju Liu, Yueyang Hu, Bo Sun, Yaodong Hu, Xiaorong Wang, Haoru Tang, Yan Wang

    Published 2018-01-01
    “…The wild Rubus species R. coreanus, which is widely distributed in southwest China, shows great promise as a genetic resource for breeding. One of its outstanding properties is adaptation to high temperature and humidity. …”
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    Article
  5. 1125

    The Cost of Self‐Defense: Browsing Effects in the Rare Plant Species Salix arizonica by Shannon J. Lencioni, Rob Massatti, Ken Keefover‐Ring, Liza M. Holeski

    Published 2024-11-01
    “…One leading hypothesis, optimal defense theory (ODT), suggests that natural selection will result in the allocation of resources to defenses that optimize the cost‐to‐benefit ratio between defense and other functional processes. …”
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    Article
  6. 1126

    Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system. by Gourab Saha, Fariha Shahrin, Farhan Hasin Khan, Mashook Mohammad Meshkat, Akm Abdul Malek Azad

    Published 2025-01-01
    “…These findings highlight the effectiveness of advanced computational techniques in enhancing agricultural practices and resource management.…”
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    Article
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    IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

    Published 2025-04-01
    “…Network pruning is a deep learning model compression technique aimed at reducing model storage requirements and decreasing computational resource consumption. However, mainstream pruning techniques often encounter challenges such as limited precision in feature selection and a diminished feature extraction capability. …”
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    Article
  9. 1129
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    Making Blind Robots See: The Synergy Between Fluorescent Dyes and Imaging Devices in Automated Proteomics by Wayne F. Patton

    Published 2000-05-01
    “…Since rare proteins cannot be amplified by any type of PCR method, sensitive detection is critical to proteome projects. Fluorescence methods deliver streamlined detection protocols, superior detection sensitivity, broad linear dynamic range and excellent compatibility with modern microchemical identification methods such as mass spectrometry. …”
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    The implementation of the situational control concept of information security in automated training systems by A. M. Chernih, S. V. Fedoseev

    Published 2016-11-01
    “…Conditions of practical application of automated learning systems change over time and transform the situation of such a decision, and this leads to the use of situational control methods.When situational control is implementing, task of the protection of information in automated learning system is solved by the subsystem control and protection of information by distributing the processes ensuring the security of information and resources of subsystem elements of the automated learning system to meet changing conditions of operation.When the event, associated with the emergence of threats to the information security related to one of the elements of a situation to a variety of destabilizing factors is checked in the system, the formation of the base of alternative control actions sets of situational management is formed, then the sets of the admissible solutions of the situational control options are formed.The best solution provides an extremum of the objective function of situational control of information security.Results. …”
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  14. 1134

    Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

    Published 2025-01-01
    “…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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    Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

    Published 2023-12-01
    “…Chromosomes representing points on an elliptic curve are initialized randomly, evaluated for their proximity to a predefined target point using a fitness function, and subjected to tournament selection to determine parents for the next generation. …”
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    Gallium oxide (Ga2O3) as a radiation detector distinguishing neutrons and gammas by D. J. Valdes, L. Rendon, J. Winkelbauer, P. Koehler, S. C. Vogel, K.-X. Sun

    Published 2025-04-01
    “…Gallium oxide (Ga2O3) is a promising ultrawide bandgap semiconductor for radiation detection with the potential of integrating electronic and scintillation functions within a single crystal device. …”
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  19. 1139

    Demand-aware traffic cooperation for self-organizing cognitive small-cell networks by Changhua Yao, Lei Zhu, Yongxing Jia, Lei Wang

    Published 2019-01-01
    “…To solve the distributed self-organizing traffic cooperation coalition formation problem, we propose three coalition formation algorithms: the first one is the Binary Preferring Traffic Cooperation Coalition Formation Algorithm based on the traditional Binary Preferring order; the second one is the Best Selection Traffic Cooperation Coalition Formation Algorithm based on the functional Best Selection order to improve the converging speed; and the third one is the Probabilistic Decision Traffic Cooperation Coalition Formation Algorithm based on the functional Probabilistic Decision order to improve the performance of the formed coalition. …”
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  20. 1140