Showing 281 - 300 results of 3,583 for search '((\ sources detection functions\ ) OR (( (resource OR source) OR resources) selection function\ ))', query time: 0.46s Refine Results
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    Sources of Life Strengths Appraisal Scale: A Multidimensional Approach to Assessing Older Adults’ Perceived Sources of Life Strengths by Prem S. Fry, Dominique L. Debats

    Published 2014-01-01
    “…A 24-month followup of a randomly selected sample confirmed that the nine-scale appraisal measure (SLSAS) is a promising instrument for appraising older adults’ sources of life strengths in dealing with stresses of daily life’s functioning and also a robust measure for predicting outcomes of resilience, autonomy, and well-being for this age group. …”
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  5. 285

    Energy scavenging from the diurnal cycle with a temperature-doubler circuit and a self-adaptive photonic design by Zhang Zheng, Zhao Xiaodong, Chen Zhen

    Published 2024-01-01
    “…Effective temperature-doubler circuits could benefit energy scavenging from fluctuating thermal resources, e.g. the diurnal cycle. However, the current paradigm relies on static photonic designs of the selective solar absorber or blackbody emitter, which aims at maximizing energy harvesting from either the sun or outer space, but not from both. …”
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  6. 286

    Strategy for Construction and Improvement of 4R Resilience Evaluation Model for Coastal Cities by Qixiang QIN, Weiping ZHANG, Yasen YIN

    Published 2025-03-01
    “…The reasons leading to the aforesaid results are mainly summarized in the following three aspects. 1) Due to dense population and land shortage, city samples with high development intensity pay more attention to spatial redundancy and resource acquisition during disasters, and their urban core functional areas have achieved full coverage of public services and emergency service facilities to a large extent through encrypted road networks, mixed land use, vertical functional layout and other ways. …”
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  7. 287

    Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

    Published 2025-03-01
    “…Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
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  8. 288

    Cosmological Evolution of Fast Radio Bursts and the Star Formation Rate by Sujay Champati, Vahé Petrosian

    Published 2025-01-01
    “…As is the case for all extragalactic sources, we are dealing with data that are truncated by observational selection effects, the most important being the flux limit, which introduces the so-called Eddington-Malmquist bias. …”
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    Varying Activity and the Burst Properties of FRB 20240114A Probed with GMRT Down to 300 MHz by Ajay Kumar, Yogesh Maan, Yash Bhusare

    Published 2024-01-01
    “…All of the bursts we detect are faint (<10 Jy ms) and thus probe the lower end of the energy distribution. …”
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  11. 291

    Evaluation of the effectiveness of sliding redundancy of radioelectronic facilities by T. E. Gelfman, A. P. Pirkhavka

    Published 2023-10-01
    “…A comparative analysis of the efficiency of sliding redundancy with a loaded and unloaded reserve was carried out in terms failure-free operation probability, as well as gamma-percentage resource, failure rate when changing the fractional multiplicity of the redundancy, and element failure rate. …”
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    The State and Prospects of Using Digital HR Tools by Russian Companies by N. V. Lomonosova, E. A. Yakimova

    Published 2020-09-01
    “…A comparative analysis of modern automation systems for personnel selection is presented and an assessment of their technological functionality is carried out. …”
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  14. 294

    Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

    Published 2025-07-01
    “…RL-PASM dynamically allocates spectrum resources across three traffic classes: high-priority (HP), low-priority (LP), and best-effort (BE), utilizing reinforcement learning (RL). …”
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    Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

    Published 2023-12-01
    “…Quality assessment and artifact detection in functional magnetic resonance imaging (fMRI) data is essential for clinical applications and brain research. …”
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  17. 297

    Anisotropic Diffusion of e± in Pulsar Halos over Multiple Coherence of Magnetic Fields by Kai Yan, Sha Wu, Ruo-Yu Liu

    Published 2025-01-01
    “…Also, the halo’s morphology may appear less asymmetric, especially after being smoothed by the point-spread function of instruments. This largely relaxes the tension between the asymmetric morphology of halos predicted by the model and the lack of apparent asymmetric halos detected so far. …”
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  18. 298

    MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data by Hazel Deniz Toktay, Hanbing Ai, Ahmad Alvandi, Kejia Su, Jinlei Li

    Published 2025-04-01
    “…This paper proposes two effective edge detection tools: one combining the balanced total horizontal gradient (BHG), and the hyperbolic tangent function, abbreviated as “MTBHG”; and the other combining the tilt angle of the total horizontal gradient (TAHG) and the hyperbolic tangent function, abbreviated as “MTAHG.” …”
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  19. 299

    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
    “…Such a framework that can effectively learn from noisy labels holds promise as a practical and cost-efficient means to provide reliable data references for land resource protection.…”
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    Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

    Published 2025-03-01
    “…The proposed system is formulated as a Markov Decision Process (MDP), where encryption level selection is driven by a reward function that optimizes the trade-off between energy efficiency and security robustness. …”
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