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261
Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
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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262
SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning
Published 2024-09-01“…Then, SGCL-LncLoc applies graph convolutional networks to learn the comprehensive graph representation. …”
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263
Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection
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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264
Short-term wind power forecasting method for extreme cold wave conditions based on small sample segmentation
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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265
Accuracy of the qPCR method in intradermal scraping samples from individuals with suspected leprosy in a Brazilian macroregion
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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266
Bipartite Gaussian boson sampling in the time-frequency-bin domain with squeezed light generated by a silicon nitride microresonator
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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267
A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response
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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268
CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking
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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269
STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES
Published 2015-09-01“…Deformation of samples was studied, and acoustic emission (AE) signals were recorded. …”
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270
Models and methods for analyzing complex networks and social network structures
Published 2023-04-01“…In addition, statistical methods are used to compile data samples and analyze obtained results.…”
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271
Ion selective electrodes based on methyl 6-(hydroxymethyl) picolinate ionophore for electrochemical determination of Fe(III) in petroleum water samples
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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272
EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation
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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273
Predicting noncoding RNA and disease associations using multigraph contrastive learning
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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274
Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China
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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275
ABF-RRT*: Bidirectional fast optimal rapidly-exploring random tree via adaptive sampling of a permissible hyper-ellipsoid
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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276
SARS-CoV-2 excretion and genetic evolution in nasopharyngeal and stool samples from primary immunodeficiency and immunocompetent pediatric patients
Published 2025-01-01“…Materials and methods A total of 40 nasopharyngeal and 24 stool samples were obtained from five PID and ten IC children. …”
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277
Spatial Analysis of the Neuronal Density of Aminergic Brainstem Nuclei in Primary Neurodegenerative and Vascular Dementia: A Comparative Immunocytochemical and Quantitative Study U...
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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278
"Predicting the Movement of Stock Prices Using Technical Analysis Indicators": Applied Research in a Sample of the Shares of Iraqi Private Commercial Banks
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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279
Comparison of detection rate of 16 sampling methods for respiratory viruses: a Bayesian network meta-analysis of clinical data and systematic review
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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280
Monitoring of Wastewater Parameters in Treatment Plants: Case Study – WWTP of Iasi City
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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