Showing 261 - 280 results of 980 for search 'sample graphs', query time: 0.10s Refine Results
  1. 261

    Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks by Shailendra Tiwari, Anita Gehlot, Rajesh Singh, Bhekisipho Twala, Neeraj Priyadarshi

    Published 2024-12-01
    “…This work proposes a comprehensive framework for detection and prediction of the disease in Finger Millet leaves using a combination of Graph Networks, Dyna Networks, Autoencoders, and Recurrent Neural Networks. …”
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    Article
  2. 262

    SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

    Published 2024-09-01
    “…Then, SGCL-LncLoc applies graph convolutional networks to learn the comprehensive graph representation. …”
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    Article
  3. 263

    Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection by Juanjuan Jiang, Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li, Xiaoou Li, Hui Yang, Bingcang Huang, the Alzheimer’s Disease Neuroimaging Initiative

    Published 2025-07-01
    “…Window function type (e.g., Gau20 for early changes, Ham50 for late stability) and data sampling points influenced sensitivity, with short windows optimizing early detection and long windows capturing late-stage network degeneration. …”
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    Article
  4. 264

    Short-term wind power forecasting method for extreme cold wave conditions based on small sample segmentation by Lin Lin, Jinhao Xu, Jianfei Liu, Hao Zhang, Pengchen Gao

    Published 2025-09-01
    “…Given the scarcity, extreme values, and high volatility of the sample data, a Sequence Variational Autoencoder (SeqVAE) algorithm is employed to generate numerical weather prediction data and corresponding power samples. …”
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    Article
  5. 265

    Accuracy of the qPCR method in intradermal scraping samples from individuals with suspected leprosy in a Brazilian macroregion by Bruno Oliveira Souza e Silva, Ana Cândida Araújo e Silva, Dilceu Silveira Tolentino Júnior, Silvana Spíndola Miranda, Marcelo Antônio Pascoal Xavier, Geraldo Cunha Cury

    Published 2025-04-01
    “…Descriptive, comparative and accuracy statistical analyses were performed using Minitab 17 and GraphPad Prism version 6.00 software. The sensitivity of qPCR on direct intradermal scraping samples (swabs) and smear slides, compared with bacilloscopy, was 100%. …”
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  6. 266

    Bipartite Gaussian boson sampling in the time-frequency-bin domain with squeezed light generated by a silicon nitride microresonator by Massimo Borghi, Emanuele Brusaschi, Marco Liscidini, Matteo Galli, Daniele Bajoni

    Published 2025-08-01
    “…Abstract We demonstrate high-dimensional bipartite Gaussian boson sampling with squeezed light across 6 mixed time-frequency modes. …”
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    Article
  7. 267

    A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response by Sohail Ahmad, Hasnain Iftikhar, Moiz Qureshi, Ilyas Khan, Abdoalrahman S. A. Omer, Elías A. Torres Armas, Javier Linkolk López-Gonzales

    Published 2025-04-01
    “…Abstract Population distribution function is a particular area in sample surveys, and several researchers have worked to improve the accuracy of this study by using the auxiliary data. …”
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    Article
  8. 268

    CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking by O. Delaigue, G. M. Guimarães, P. Brigode, P. Brigode, P. Brigode, B. Génot, B. Génot, C. Perrin, J.-M. Soubeyroux, B. Janet, N. Addor, N. Addor, V. Andréassian

    Published 2025-04-01
    “…<p>Over the last decade, large-sample approaches, i.e., based on large catchment sets, have become increasingly popular in hydrological studies. …”
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    Article
  9. 269
  10. 270

    Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

    Published 2023-04-01
    “…In addition, statistical methods are used to compile data samples and analyze obtained results.…”
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    Article
  11. 271

    Ion selective electrodes based on methyl 6-(hydroxymethyl) picolinate ionophore for electrochemical determination of Fe(III) in petroleum water samples by Tamer Awad Ali, Gehad G. Mohamed, Hassan Eldessouky, A-El. Adeeb

    Published 2019-06-01
    “…A potentiometric method was described for the determination of iron(III) in petroleum water samples using modified carbon paste and screen-printed sensors. …”
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    Article
  12. 272

    EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Yara Badr, Fares Al-Shargie, M. N. Afzal Khan, Nour Faris Ali, Usman Tariq, Fadwa Almughairbi, Fabio Babiloni, Hasan Al-Nashash

    Published 2025-01-01
    “…This study addresses limitations in EEG-based stress detection research by developing a novel approach to differentiate multiple mental states in different stress baseline population samples. Utilizing EEG signals, graph convolutional neural networks (GCNs), and binaural beats stimulation (BBs), the research investigates stress detection and reduction in two population sample groups with distinct baselines (group 1: low daily baseline, and group 2: stressed daily baseline). …”
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  13. 273

    Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

    Published 2025-01-01
    “…The first step is the construction of a heterogeneous graph. The second step involves down sampling using the K-means clustering algorithm to balance the positive and negative samples. …”
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  14. 274

    Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China by Qun Yan, Linfu Xue, Yongsheng Li, Rui Wang, Ke Ding, Zhenglin Xu

    Published 2025-08-01
    “…Given the spatial variability of geological features, we use a window sampling method for data collection to ensure the completeness of geospatial structural features. …”
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  15. 275

    ABF-RRT*: Bidirectional fast optimal rapidly-exploring random tree via adaptive sampling of a permissible hyper-ellipsoid by Zhaoyang Zeng, Yufang Chang

    Published 2025-08-01
    “…Abstract This paper proposes a global path planning algorithm based on adaptive sampling and bidirectional fast exploration, ABF-RRT*. …”
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  16. 276
  17. 277

    Spatial Analysis of the Neuronal Density of Aminergic Brainstem Nuclei in Primary Neurodegenerative and Vascular Dementia: A Comparative Immunocytochemical and Quantitative Study U... by Yan Yang, Konrad Beyreuther, Horst P. Schmitt

    Published 1999-01-01
    “…A graph method was employed to analyse spatial neuronal patterns of pontine nuclei with ascending aminergic projections to the forebrain (nucleus centralis superior (NCS), raphes dorsalis (NRD) and locus coeruleus (LC)), in Alzheimer disease (AD), Huntington disease (HD), and vascular (VD) as well as “mixed‐type” (VA) dementia, compared with non‐demented controls (CO) and a small sample of brains from schizophrenics (“dementia praecox” (DP)). …”
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  18. 278

    "Predicting the Movement of Stock Prices Using Technical Analysis Indicators": Applied Research in a Sample of the Shares of Iraqi Private Commercial Banks by Asaad Gheni Jihad, Ahmed Muqdad Ismael

    Published 2023-06-01
    “…As the research community consisted of Iraqi private commercial banks، which numbered (25) banks، while the research sample consisted of (7) banks with a rate of (28%) of the research community، the research used the analytical approach for the financial data in the period between (1/8 /2021-30/4/2022)، as the financial statements (closing prices) of the research sample banks were calculated by means of mathematical equations for technical indicators، and represented them in the form of graphs to clearly determine price trends and (buy and sell) signals. …”
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    Article
  19. 279

    Comparison of detection rate of 16 sampling methods for respiratory viruses: a Bayesian network meta-analysis of clinical data and systematic review by Kai Wang, Yi Zhang, Nianzong Hou, Haiyang Zhang, Mingjian Bai, Weidong Song, Fusen Jia, Shiliang Han, Bing Xie

    Published 2020-11-01
    “…The rank probabilities in direct and cumulative rank plots were also incorporated to rank the corresponding sampling methods for overall and specific virus.Results 16 sampling methods with 54 438 samples from 57 literatures were ultimately involved in this study. …”
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  20. 280

    Monitoring of Wastewater Parameters in Treatment Plants: Case Study – WWTP of Iasi City by Prăjanu Costel-Cătălin, Stătescu Florian, Toma Daniel, Toma Cristina-Mihaela Vîrlan

    Published 2022-06-01
    “…Monitoring the parameters of wastewater in a treatment plant, involves monitoring the quality of wastewater through measuring and control equipment, sampling wastewater as accurately and as many points as possible, the ideal case being after each technological object or treatment step and analysis of wastewater samples as accurately as possible, also the ideal case being compliance with well-defined methodologies. …”
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