Found: 19
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Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach.
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- Infectious Disease Modelling (2468-2152), 2024, v. 9, n. 2, p. 527, doi. 10.1016/j.idm.2024.02.010
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Ionospheric TEC prediction using FFNN during five different X Class solar flares of 2021 and 2022 and comparison with COKSM and IRI PLAS 2017.
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- Journal of Applied Geodesy, 2024, v. 18, n. 2, p. 295, doi. 10.1515/jag-2023-0057
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Forecasting Ionospheric TEC Changes Associated with the December 2019 and June 2020 Solar Eclipses: A Comparative Analysis of OKSM, FFNN, and DeepAR Models.
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- Advances in Astronomy, 2024, v. 2024, p. 1, doi. 10.1155/2024/8255782
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Prediction of ionospheric TEC by LSTM and OKSM during M class solar flares occurred during the year 2023.
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- Astrophysics & Space Science, 2024, v. 369, n. 3, p. 1, doi. 10.1007/s10509-024-04290-x
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Analysis of Ionospheric TEC Variations and Prediction of TEC during Earthquakes Using Ordinary Kriging Based Surrogate Model.
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- Geomagnetism & Aeronomy, 2023, v. 63, p. S22, doi. 10.1134/S001679322360025X
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Prediction of Ionospheric TEC during the Annular and Total Solar Eclipses that Occurred over Indonesia by Using OKSM and FFNN.
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- Cosmic Research, 2023, v. 61, n. 6, p. 471, doi. 10.1134/S001095252360004X
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A data driven change-point epidemic model for assessing the impact of large gathering and subsequent movement control order on COVID-19 spread in Malaysia.
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- PLoS ONE, 2021, v. 16, n. 5, p. 1, doi. 10.1371/journal.pone.0252136
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Space-Time Cluster Analysis of Accidental Oil Spills in Rivers State, Nigeria, 2011-2019.
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- Computers, Materials & Continua, 2021, v. 66, n. 3, p. 3065, doi. 10.32604/cmc.2021.012624
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Saybolt color prediction for condensates and light crude oils.
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- Journal of Petroleum Exploration & Production Technology, 2021, v. 11, n. 1, p. 253, doi. 10.1007/s13202-020-01031-y
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Space-Time Clustering Characteristics of Tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015–2019.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 4, p. 1413, doi. 10.3390/ijerph17041413
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A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA.
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- Australasian Physical & Engineering Sciences in Medicine, 2018, v. 41, n. 3, p. 633, doi. 10.1007/s13246-018-0656-5
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An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan.
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- PLoS ONE, 2018, v. 13, n. 6, p. 1, doi. 10.1371/journal.pone.0199176
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Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia.
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- Geospatial Health, 2018, v. 13, n. 1, p. 102, doi. 10.4081/gh.2018.613
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Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network.
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- Journal of Integrative Neuroscience, 2017, v. 16, n. 3, p. 275, doi. 10.3233/JIN-170016
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Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network.
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- Journal of Integrative Neuroscience, 2017, v. 16, n. 3, p. 275, doi. 10.3233/JIN-170016
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Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion.
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- PLoS ONE, 2017, v. 12, n. 5, p. 1, doi. 10.1371/journal.pone.0178410
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Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach.
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- Geospatial Health, 2017, v. 12, n. 2, p. 210, doi. 10.4081/gh.2017.567
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Decoding of visual information from human brain activity: A review of fMRI and EEG studies.
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- Journal of Integrative Neuroscience, 2015, v. 14, n. 2, p. 155, doi. 10.1142/S0219635215500089
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Fingerprint-Based Recognition.
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- International Statistical Review, 2013, v. 81, n. 2, p. 175, doi. 10.1111/insr.12017
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