Showing 1,001 - 1,020 results of 2,202 for search 'distributed data low model', query time: 0.18s Refine Results
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    MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection by Jun Liu, Haolin Li, Hao Liu, Jiuzhen Liang

    Published 2025-12-01
    “…Firstly, based on the diffusion model, a mask-embedding data augmentation method, MEDiffusion, is proposed. …”
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    Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems by Hongming Yang, Hao Liu, Xin Yuan, Kai Wu, Wei Ni, J. Andrew Zhang, Ren Ping Liu

    Published 2025-06-01
    “…We examine current architectures and practical methods enabling this fusion, such as efficient low-rank adaptation (LoRA) for fine-tuning large models and memory-efficient Split Federated Learning (SFL) for collaborative edge training. …”
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  6. 1006

    Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

    Published 2025-06-01
    “…In terms of drought progression, an inverse correlation between the temporal variation characteristics of Weibo discussion level in severely affected provinces and municipalities including Sichuan, Chongqing, and Jiangxi and local hydrological flow data was observed. (2) The spatial characteristics of attention levels on social media basically matched the distribution of drought severity. …”
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  7. 1007

    Multi-level phenotypic models of cardiovascular disease and obstructive sleep apnea comorbidities: A longitudinal Wisconsin sleep cohort study. by Duy Nguyen, Ca Hoang, Tien Truong, Dang Nguyen, Hillary Gia Lam, Abhay Sharma, Trung Quoc Le, Phat Kim Huynh

    Published 2025-01-01
    “…The methodology consists of three advanced steps to capture the relationships between these comorbid conditions: (1) performing feature importance analysis using tree-based models to highlight the predominant role of variables in predicting CVD outcomes. (2) developing a logistic mixed-effects model (LGMM) to identify longitudinal transitions and their significant factors, enabling detailed tracking of individual trajectories; (3) and utilizing t-distributed stochastic neighbor embedding (t-SNE) combined with Gaussian mixture models (GMM) to classify patient data into distinct phenotypic clusters. …”
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    The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia by Alejandro Navarro-Martínez, Meriem Hajji, Jan Mateu Armengol, Albert Soret, Miguel Ponce-de-León, Alfonso Valencia

    Published 2025-07-01
    “…We also utilise finely-resolved air quality data for the four pollutants from the bias-corrected CALIOPE model, projected over the districts. …”
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  11. 1011

    Slope—sedimentary source rock-type helium enrichment model: a case study of Shenmu Gas Field, Ordos Basin by Zhengang DING, Chenglin LIU, Liyong FAN, Rui KANG, Jianfa CHEN, Haidong WANG, Sijie HONG, Aslam Khan MUHAMMAD

    Published 2024-11-01
    “…The helium content showed a spatial distribution pattern of "low in the west and high in the east", with helium content exceeding 0.1% in some eastern areas. …”
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  12. 1012

    Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

    Published 2025-05-01
    “…Extending these capabilities further, hyperspectral imaging combines spatial and spectral data to generate comprehensive chemical maps, enabling the simultaneous assessment of polymer composition and distribution. …”
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    Global Pattern of Vegetation Homogeneity and Its Impact on Land Surface Temperature by Ehsan Rahimi, Pinliang Dong, Chuleui Jung

    Published 2025-02-01
    “…In tropical regions (−10° to 10° latitudes), the association is weaker but still significant (R<sup>2</sup> = 15.1%). The distribution of EVI homogeneity follows a Gaussian curve, peaking in mid-latitudes (from −35° to −15° in the Southern Hemisphere and from 15° to 35° in the Northern Hemisphere), while tropical regions exhibit consistently low homogeneity with minimal variation. …”
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    Two-Level Semantic-Driven Diffusion Based Hyperspectral Pansharpening by Lin He, Wenrui Liang, Antonio Plaza

    Published 2025-01-01
    “…Over recent years, denoising diffusion probabilistic models (DDPMs) have received many attentions due to their powerful ability to infer data distribution. …”
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  16. 1016

    Modélisation des longueurs des périodes sans pluies supérieures à différents seuils de la chronique de Marseille (1864-2008) by Philippe Martin

    Published 2016-04-01
    “…This also appears, for high thresholds, when one adjusts the model ESTOUP-ZIPF, extended by B. MANDELBROT, to all data. …”
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    Simulation of Patch Field Effect in Space-Borne Gravitational Wave Detection Missions by Mingchao She, Xiaodong Peng, Li-E Qiang

    Published 2025-05-01
    “…The proposed method’s capability to concurrently model geometric bulges and potential nonuniformity offers significant advantages over conventional approaches, providing critical insights for gravitational wave data analysis. …”
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    Spatial pattern and determinants of unmet need of family planning in Nigeria by Oluwayemisi Oyeronke Alaba, J. O. Olaomi, Olusanya E. Olubusoye

    Published 2015-09-01
    “…A geo-additive model was specified to simultaneously measure the fixed, nonlinear, spatial and random effects inherent in the data. …”
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    AMNED: An Efficient Framework for Spiking Neuron Coding in AirComp Federated Learning by Juncheng Ji, Chan-Tong Lam, Ke Wang, Benjamin K. Ng

    Published 2025-01-01
    “…AirComp Federated Learning (ACFL) integrates AirComp with federated learning, transforming distributed machine learning by enhancing data privacy and leveraging network device computation. …”
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    Discoveries and Properties of EL CVn–type Binaries in the TESS Survey by Jianping Xiong, Zhenwei Li, Jiao Li, Xiaobin Zhang, Xiaodian Chen, Kaifan Ji, Zhanwen Han, Xuefei Chen

    Published 2025-01-01
    “…Utilizing TESS light curves, Gaia distances, and multiband photometric data (e.g., Galaxy Evolution Explorer, Two Micron All Sky Survey, Wide-field Infrared Survey Explorer, SkyMapper), we modeled the light curves and spectral energy distributions to derive system parameters, including effective temperatures, masses, and radii. …”
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