IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz - zzsong1023/databook_python
data-science machine-learning statistics probability data-visualization data-engineering business-intelligence data-analytics business-analytics data-driven-decisions Updated Dec 22, 2021 HTML NishadKhudabux / Potential-Customer-Prediction Star 0 Code Issues Pull requests A critical problem in EdTech is...
Data Science and Engineering Aims and scope Submit manuscript Stefano Valtolina 9111 Accesses Explore all metrics Abstract This paper aims at introducing a new dissemination framework for cultural heritage (CH) making possible affordable solutions for small and medium museums to cooperate/collaborate in...
Christoph is also a founder, consultant and Angel Investor, commanding first-hand experience in providing the right Tech for businesses to grow. His background as Computer Science Expert (IHK) makes Christoph an operative allrounder in almost all aspects of technology. ...
The Science of Where, is the perfect representation of our past, our present, and our future because The Science of Where, is—quite simply—what we do. It's also what our users do too, every day. Our users around the world practice The Science of Where, by mapping the ocean floor;...
2021, Journal of Petroleum Science and Engineering Show abstract Process topology convolutional network model for chemical process fault diagnosis 2021, Process Safety and Environmental Protection Show abstract Digital twins in pharmaceutical and biopharmaceutical manufacturing: A literature review 2020, Processes...
We share data and codes in a GitHub repositoryhttps://github.com/mmorenoz/GAM_LandslideSizeto promote the repeatability and reproducibility of this research.doi:10.1016/j.enggeo.2023.107121Mateo MorenoS. StegerH. TanyaL. LombardoEngineering Geology...
Sibley School of Mechanical and Aerospace, EngineeringCornell University, Ithaca, NY, USA Teeratorn Kadeethum, Jan Niklas Fuhg & Nikolaos Bouklas Computational Earth Science, Los Alamos National Laboratory, Los Alamos, NM, USA Daniel O’Malley & Hari S. Viswanathan Center for Applied Scientific Com...
Energy management technologies have significant potential to optimize electric vehicle performance and support global energy sustainability. However, despite extensive research, their real-world application remains limited due to reliance on simulations,
Inverse molecular design using machine learning: Generative models for matter engineering. Science 361, 360–365 (2018). Article ADS PubMed MATH CAS Google Scholar Bilodeau, C., Jin, W., Jaakkola, T., Barzilay, R. & Jensen, K. F. Generative models for molecular discovery: Recent advances...