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Frontiers in Big Data|April 11, 2022
Data-Driven Framework for Understanding and Predicting Air Quality in Urban AreasLakshmi Babu Saheer, Ajay Bhasy, Mahdi Maktabdar, et al.
Frontiers in Big Data|April 1, 2022
Air Quality Forecast by Statistical Methods: Application to Portugal and MacaoLuísa Mendes, Joana Monjardino, Francisco Ferreira
Frontiers in Big Data|February 28, 2022
Coming Together of Bayesian Inference and Skew Spherical DataNajmeh Nakhaei Rad, Andriette Bekker, Mohammad Arashi, et al.
Frontiers in Big Data|February 28, 2022
Regression and Classification With Spline-Based Separable ExpansionsNithin Govindarajan, Nico Vervliet, Lieven De Lathauwer
Frontiers in Big Data|March 3, 2022
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WAKai Fan, Ranil Dhammapala, Kyle Harrington, et al.
Frontiers in Big Data|March 7, 2022
An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex NetworksAlexander J Freund, Philippe J Giabbanelli
Frontiers in Big Data|April 24, 2023
Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of ColombiaCarlos Alberto Almanza Junco, Marial Del Pilar Pulido Ramirez, Mercedes Gaitán Angulo, et al.
Frontiers in Big Data|April 24, 2023
Human behavior in the time of COVID-19: Learning from big dataHanjia Lyu, Arsal Imtiaz, Yufei Zhao, et al.
Frontiers in Big Data|May 4, 2023
Network experiment designs for inferring causal effects under interferenceZahra Fatemi, Elena Zheleva
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