Showing 561 - 580 results of 1,384 for search 'detection distribution function', query time: 0.16s Refine Results
  1. 561

    Genome-wide analysis of CHYR gene family and BnA03.CHYR.1 functional verification under salt stress in Brassica napus L. by Yanli Guo, Qingxiao Ren, Manman Song, Xiangxiang Zhang, Heping Wan, Fei Liu

    Published 2025-03-01
    “…Although the CHYR gene family has been functionally characterised in various aspects of plant growth, development, and stress responses, its systematic investigation in B. napus is lacking. …”
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    Article
  2. 562

    Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

    Published 2025-03-01
    “…Multispectral data was extracted by signal approximation with Cauchy distribution function (M1) and first-order descriptive parameters (M2). …”
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  3. 563

    Transceiver Design of a Secure Multiuser FDSS-Based DFT-Spread OFDM System for RIS- and UAV-Assisted THz Communications by Md. Najmul Hossain, Kottakkaran Sooppy Nisar, Tetsuya Shimamura, Md. Rakibul Islam, Sk. Tamanna Kamal, Shaikh Enayet Ullah

    Published 2025-01-01
    “…The simulation results demonstrate the effectiveness of the proposed system in terms of PLS enhancement for color image transmission, with a low image structural similarity index of 0.65%, 1.60%, and 0.70% for users 1, 2, and 3, respectively; an achievable OOB power emission of 337 dB; and estimated peak-to-average power ratios (PAPRs) ranging from 7.10 to 7.85 dB at a complementary cumulative distribution function (CCDF) of <inline-formula> <tex-math notation="LaTeX">$1\times 10^{-4}$ </tex-math></inline-formula> for different ground-transmitting channels. …”
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  4. 564

    Model of trusted interaction of agents in decentralized cyber-physical environmentv by V. I. Petrenko, F. B. Tebueva, I. V. Struchkov, S. S. Ryabtsev

    Published 2023-08-01
    “…The goal is achieved by establishing a trusted interaction between agents and quick detection of malicious impact.Method. Trusted interaction is carried out using distributed ledger technology and agent confidence indicators. …”
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  5. 565
  6. 566

    Pearls on a String: Dark and Bright Galaxies on a Strikingly Straight and Narrow Filament by M. Arabsalmani, S. Roychowdhury, B. Schneider, V. Springel, E. Le Floc’h, F. Bournaud, A. Burkert, J.-C. Cuillandre, P.-A. Duc, E. Emsellem, D. Galárraga-Espinosa, E. Pian, F. Renaud, M. A. Zwaan

    Published 2025-01-01
    “…We study the cold H i gas in a 1.3 Mpc section of the filament through H i 21 cm emission line observations and detect 11 H i sources, many more than expected from the H i mass function in a similar volume. …”
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  7. 567

    Dependency-based fault diagnosis approach for SOA-based systems using Colored Petri Nets by Guru Prasad Bhandari, Ratneshwer

    Published 2022-02-01
    “…A faulty situation occurred in Service Oriented Architecture (SOA) based systems can affect its functionality. It is challenging to guarantee the reliability of service utilization in a distributed, concurrent and dynamic composition of web services. …”
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  8. 568

    Thermodynamic Modeling of Hashtag Dynamics for Social Media Clustering: A Maxwell-Boltzmann Approach by Krishnan Batri, Rajermani Thinakaran, Bhuvana Jayabalan, L. Karthikeyan, S. Lakshmi, R. Sowrirajan, Sivaram Murugan

    Published 2025-01-01
    “…Social media hashtags function as critical organizational markers in digital discourse, yet traditional weighting methods fail to capture their dynamic significance across temporal and contextual dimensions. …”
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  9. 569
  10. 570

    C-Band 200 Gbit&#x002F;s&#x002F;&#x03BB; PS-PAM-8 Transmission Over 2-km SSMF for Optical Interconnections by Xuancheng Huo, Meng Xiang, Gai Zhou, Jilong Li, Jianping Li, Yuwen Qin, Songnian Fu

    Published 2024-01-01
    “…Nonetheless, when PS is employed for the intensity modulation direct detection (IMDD) system, the optimal probability shaping distribution is not compatible with the distribution of forward error correction (FEC) code. …”
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  11. 571

    Preparation Process and Performance Analysis of Oxygen-containing Coating on Transition Metal by MA Ru, ZHONG Wuye, JIN Rui, REN Siqi, YAO Siyu, QI Lijun

    Published 2025-03-01
    “…The results show that the smooth and dense oxygen-containing coatings of transition metals with high bonding strength can be obtained by using MS-PVD technology, and the oxygen content with controllable sizes is evenly distributed along the coating thickness. After adsorption of oxygen on the surface of transition metals, the work function value slightly increases, while after adsorption of cesium, the work function value decreases. …”
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  12. 572

    Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

    Published 2025-06-01
    “…The dataset incorporates EEG signals obtained from 15 subjects, with a gender distribution of 8 females and 7 males, and a mean age of 21.5 years [1]. …”
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  15. 575

    Structural and Functional Peculiarities of Cardiac Changes in Non-Alcoholic Fatty Liver Disease Patients With Different Polymorphic Variants of the Deletion Polymorphism of the Glu... by V. Prysyazhnyuk, T. Ilashchuk, L. Sydorchuk, P. Prysyazhnyuk, K. Bobkovych, N. Bachuk–Ponych

    Published 2020-06-01
    “…Conducted studies have shown that non-alcoholic fatty liver disease patients with different polymorphic variants of the deletion polymorphism of the glutathione-S-transferase M1 gene are characterized by different structural and functional changes of the heart. The distribution of polymorphic variants of the glutathione-S-transferase M1 gene is not significantly different in patients with non-alcoholic fatty liver disease and healthy individuals. …”
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  16. 576

    Dynamic Monitoring of Goaf Stress Field and Rock Deformation Driven by Optical Diber Sensing Technology by Jing Chai, Zhe Yan, Yibo Ouyang, Dingding Zhang, Jianfeng Yang, Gaoyi Yang, Chenyang Ma

    Published 2025-04-01
    “…Addressing the critical technological needs for the real-time monitoring of stress distribution in mining areas, a new method for inverting goaf pressure using distributed optical fiber monitoring data is proposed. …”
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  17. 577

    A Selective Overview of Quantile Regression for Large-Scale Data by Shanshan Wang, Wei Cao, Xiaoxue Hu, Hanyu Zhong, Weixi Sun

    Published 2025-03-01
    “…The main contribution of this paper is a comprehensive review of existing work and advancements in these areas, addressing challenges such as managing the non-smooth QR loss function, developing distributed and online updating formulations, and conducting statistical inference. …”
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  18. 578

    A hybrid OTFT-SPR system for simultaneous electronic and optical sensing by Davood Hatami, Roger Hasler, Andrea Spanu, Jakub Dostalek, Christoph Kleber, Wolfgang Knoll, Annalisa Bonfiglio

    Published 2025-04-01
    “…While the SPR-based transduction is sensitive to local refractive index changes associated with a mass uptake on the sensing surface, the electronic transduction provides complementary information about collective charge carrier distribution. The ExG-OTFT architecture ensures compatibility with commercially available SPR instrumentation, enabling straightforward upgrades to SPR/FET functionality with minimal modifications. …”
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  19. 579

    Fine-Grained Aircraft Recognition Based on Dynamic Feature Synthesis and Contrastive Learning by Huiyao Wan, Pazlat Nurmamat, Jie Chen, Yice Cao, Shuai Wang, Yan Zhang, Zhixiang Huang

    Published 2025-02-01
    “…With the rapid development of deep learning, significant progress has been made in remote sensing image target detection. However, methods based on deep learning are confronted with several challenges: (1) the inherent limitations of activation functions and downsampling operations in convolutional networks lead to frequency deviations and loss of local detail information, affecting fine-grained object recognition; (2) class imbalance and long-tail distributions further degrade the performance of minority categories; (3) large intra-class variations and small inter-class differences make it difficult for traditional deep learning methods to effectively extract fine-grained discriminative features. …”
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  20. 580