Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
An empirical-driven machine learning (EDML) approach to predict PPV caused by quarry blasting — Panagiotis Asteris (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
An empirical-driven machine learning (EDML) approach to predict PPV caused by quarry blasting
Shared by
Panagiotis Asteris
An empirical-driven machine learning (EDML) approach to predict PPV caused by quarry blasting
Article
2025
en
Authors
Panagiotis Asteris
DA
Danial Jahed Armaghani
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2023
Hybrid Machine Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation
Eike Caldeweyher
,
Masha Elkin
,
Golsa Gheibi
,
Magnus J. Johansson
,
Christian Sköld
,
Per‐Ola Norrby
,
John F Hartwig
Preprint
2023
A Hybrid Machine-Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation
Eike Caldeweyher
,
Masha Elkin
,
Golsa Gheibi
,
Magnus J. Johansson
,
Christian Sköld
,
Per‐Ola Norrby
,
John F Hartwig
Preprint
2022
A Hybrid Machine-Learning Approach to Predict the Iridium-Catalyzed Borylation of C–H Bonds
Eike Caldeweyher
,
Masha Elkin
,
Golsa Gheibi
,
Magnus J. Johansson
,
Christian Sköld
,
Per‐Ola Norrby
,
John F Hartwig
Chapter in a book
2022
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout
Malvika Pillai
,
Karthik Adapa
,
Meagan Foster
,
Ian M. Kratzke
,
Nadia Charguia
,
Łukasz Mazur
Article
2025
A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes
Shuheng Yang
,
Ralf Weiskirchen
,
Wenjing Zheng
,
Xiaobo Hu
,
Zhiguo Liu
,
Hualin Wang
Discussion(0)
No comments yet. Be the first to comment.