Showing 561 - 580 results of 2,089 for search '((( source OR source) detection function ) OR ( sources selection function ))', query time: 0.31s Refine Results
  1. 561

    Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

    Published 2025-09-01
    “…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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    Article
  2. 562

    Cyclostationary Near-field Acoustic Holography for Gearboxes by Zhu Song, Zhang Erliang, Gao Xiaoyu

    Published 2024-12-01
    “…Firstly, the set of cyclic frequencies was estimated from the noise signal; secondly, the cyclic frequency of interest was selected, and the corresponding cyclic spectral density function was calculated; thirdly, the equivalent source NAH method was developed to reconstruct the potential sound source of the gearbox. …”
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  3. 563

    cogsworth: A Gala of COSMIC Proportions Combining Binary Stellar Evolution and Galactic Dynamics by Tom Wagg, Katelyn Breivik, Mathieu Renzo, Adrian M. Price-Whelan

    Published 2025-01-01
    “…Alternatively, several analytic models are available for galactic potentials and star formation histories. cogsworth can also transform the intrinsic simulated population into an observed population using dust maps, bolometric correction functions, and survey selection functions. We provide a detailed explanation of the functionality of cogsworth and demonstrate its capabilities through a series of use cases: (1) we predict the spatial distribution of compact objects and runaways in both dwarf and Milky Way–like galaxies; (2) using a star cluster from a hydrodynamical simulation, we show how supernovae can change the orbits of stars in several ways; and (3) we predict the separation of disrupted binary stellar companions on the sky and create a synthetic Gaia color–magnitude diagram. …”
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  4. 564

    Cvill6 and Cvill7: Potent and Selective Peptide Blockers of Kv1.2 Ion Channel Isolated from Mexican Scorpion <i>Centruroides villegasi</i> by Kashmala Shakeel, Muhammad Umair Naseem, Timoteo Olamendi-Portugal, Fernando Z. Zamudio, Lourival Domingos Possani, Gyorgy Panyi

    Published 2025-06-01
    “…Scorpion venoms are a rich source of peptides that modulate the activity of ion channels and can serve as a new drug for channelopathies. …”
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  5. 565

    Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

    Published 2025-01-01
    “…Using probability density functions (PDFs), multiple uncertainty scenarios were generated, with representative scenarios selected via Monte Carlo simulation (MCS) for IDM development. …”
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  6. 566

    Educational Technologies in Modern Higher Education Institutions (Analysis of Russian and Foreign Research and Practice) by N. V. Bordovskaia, E. A. Koshkina, N. A. Bochkina

    Published 2020-08-01
    “…Statistically significant differences were identified for all considered functional characteristics of educational technology in Russian and foreign publications, with the exception of “Student Attitude to Educational Technology”. …”
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  7. 567
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  9. 569

    Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

    Published 2025-09-01
    “…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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  10. 570

    Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

    Published 2017-01-01
    “…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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  11. 571

    Conception de l’artefact, conception du collectif : dynamique d’un processus de conception ouvert et continu dans une communauté de développement de logiciels libres by Flore Barcellini

    Published 2009-04-01
    “…Elicitation of needs and valorization of the new functionality take place in the use-oriented mailing-list, refinements of the functionality specifications take place in the design-oriented mailing list, whereas proper specifications take place in parallel in the two mailing-lists. …”
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  12. 572

    Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

    Published 2025-02-01
    “…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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  13. 573

    Compact Laser-Induced Fluorescence Detector with Adjustable Laser Focal Spot for Multiple Purposes by Zihe Xu, Xi Chen, Fangwu Liu

    Published 2024-09-01
    “…The influence of the excitation power on the detection limit was studied through experiments, and the configuration results for LED/LD as light sources and 487/450 nm wavelengths were compared and optimized. …”
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  14. 574

    Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

    Published 2025-03-01
    “…Owing to the demand for smoke and flame detection in natural scenes, this paper proposes a lightweight deep learning model, SF-YOLO (Smoke and Fire-YOLO), for video smoke and flame detection in such environments. …”
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  15. 575

    Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

    Published 2024-10-01
    “…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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  16. 576

    A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

    Published 2025-08-01
    “…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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  17. 577

    Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

    Published 2025-08-01
    “…Given the dense growth of blueberry plants and small fruit size, detecting blueberry maturity at long distances poses significant challenges. …”
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  18. 578

    Sheath Voltage Limiter Defects Detection Method Based on Harmonic Phasor Differences of Sheath Current for Cross-Bonded HV Cable by Hao Hu, Jing Tu, Yongheng Ai, Zhanran Xia, Ruoxin Song, Bin Yang, Xinyun Gao, Zhi Li, Fuyuan Liu, Hang Wang

    Published 2025-01-01
    “…By establishing a frequency-domain equivalent model of cross-bonded HV cables combined with SVL nonlinear resistance characteristics, harmonic currents under defect conditions are treated as harmonic sources injected into the sheath loop. Transfer functions analyze the impacts of SVL defects on sheath currents, revealing that harmonic content during SVL defects is significantly higher than under normal conditions and other defect types. …”
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    Article
  19. 579

    Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

    Published 2024-12-01
    “…Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. …”
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  20. 580