Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence

19 September 2023

Papers citing "Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence"

7 / 7 papers shown

Title
Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach Diego A. de Aguiar Hugo L. França C. Oishi 64 2 0 24 Mar 2024
Prediction of the morphological evolution of a splashing drop using an encoder-decoder Jingzu Yee Daichi Igarashi(五十嵐大地) Shun Miyatake(宮武駿) Yoshiyuki Tagawa(田川義之) 19 9 0 24 Mar 2023
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,251 0 22 Oct 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 81 2,109 0 27 May 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 64 3,689 0 09 Aug 2018
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition Chih-Yao Ma Min-Hung Chen Z. Kira G. Al-Regib AI4TS 63 241 0 30 Mar 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 415 18,334 0 27 May 2016