Editorial for the Special Issue “Data Science and Big Data in Biology, Physical Science and Engineering”
Author:
Affiliation:
1. Department of Computer Science, University of Jamestown, Jamestown, ND 58405, USA
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2227-7080/12/1/8/pdf
Reference12 articles.
1. Imani, M., and Arabnia, H.R. (2023). Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis. Technologies, 11.
2. Haase, J., Walker, P.B., Berardi, O., and Karwowski, W. (2023). Get Real Get Better: A Framework for Developing Agile Program Management in the U.S. Navy Supported by the Application of Advanced Data Analytics and AI. Technologies, 11.
3. Salam, A., Ullah, F., Amin, F., and Abrar, M. (2023). Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach. Technologies, 11.
4. Ebrahimi, A. (2023). Self-Directed and Self-Designed Learning: Integrating Imperative Topics in the Case of COVID-19. Technologies, 11.
5. Arifuzzaman, M., Hasan, M.R., Toma, T.J., Hassan, S.B., and Paul, A.K. (2023). An Advanced Decision Tree-Based Deep Neural Network in Nonlinear Data Classification. Technologies, 11.
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1. Optimization of industrial Fenton process of phenolic effluent using artificial neural network and design of experiments;Chemical Engineering Communications;2024-05-09
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