Papers citing Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
arXiv (Cornell University) · 2022-09-29
Yin, Yuan, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Read original paper ↗ ·Comment on hess-2022-282
Unknown journal · 2022-10-10
Peishi Jiang, Pin Shuai, Alexandar Sun, Maruti K. Mudunuru, Xingyuan Chen
Read original paper ↗ ·A framework for machine learning of model error in dynamical systems
Communications of the American Mathematical Society · 2022-10-14
Matthew E. Levine, Andrew M. Stuart
Read original paper ↗ ·Failure-Averse Active Learning for Physics-Constrained Systems
IEEE Transactions on Automation Science and Engineering · 2022-11-03
Cheolhei Lee, Xing Wang, Jianguo Wu, Xiaowei Yue
Read original paper ↗ ·Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for hydrological processes
Journal of Hydrology · 2022-11-08
Pravin Bhasme, Jenil Vagadiya, Udit Bhatia
Read original paper ↗ ·In‐season crop phenology using remote sensing and model‐guided machine learning
Agronomy Journal · 2022-11-23
George R. Worrall, Jasmeet Judge, Kenneth Jay Boote, Anand Rangarajan
Read original paper ↗ ·Comment on egusphere-2022-1159
Unknown journal · 2022-11-28
Gerd Bürger, Maik Heistermann
Read original paper ↗ ·Information geometry for multiparameter models: new perspectives on the origin of simplicity
Reports on Progress in Physics · 2022-11-30
Katherine N. Quinn, Michael C. Abbott, Mark K. Transtrum, Benjamin B. Machta, James P. Sethna
Read original paper ↗ ·Physics-Based Spatio-Temporal Modeling With Machine Learning for the Prediction of Oceanic Internal Waves
Unknown journal · 2022-12-01
Song Wu, Xiaojiang Zhang, Wei Dong, Senzhang Wang, Xiaoyong Li, Senliang Bao, Kai Li
Read original paper ↗ ·Predicting the propagation of acoustic waves in complex media with deep neural networks
Unknown journal · 2022-12-01
Antonio Alguacil
Read original paper ↗ ·Comment on hess-2022-282
Unknown journal · 2022-12-03
Peishi Jiang, Pin Shuai, Alexander Y. Sun, Maruti Kumar Mudunuru, Xingyuan Chen
Read original paper ↗ ·Boosting Personalized Musculoskeletal Modeling With Physics-Informed Knowledge Transfer
IEEE Transactions on Instrumentation and Measurement · 2022-12-08
Jie Zhang, Yihui Zhao, Tianzhe Bao, Zhenghong Li, Kun Qian, Alejandro Federico Frangi, Sheng Quan Xie, Zhiqiang Zhang
Read original paper ↗ ·Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning
Journal of Manufacturing Science and Engineering · 2022-12-21
Amit Surana, Matthew E. Lynch, Abdalla R. Nassar, G. Ojard, Brian Fisher, David Jeffrey Corbin, Ryan Overdorff
Read original paper ↗ ·A Century-Long Challenge in Teletraffic Theory: Blocking Probability Evaluation for Overflow Loss Systems With Mutual Overflow
IEEE Access · 2023-01-01
Eric W. M. Wong, Yin-Chi Chan
Read original paper ↗ ·A Comparative Study on Methods for Fusing Data-Driven and Physics-Based Models for Hybrid Remaining Useful Life Prediction of Air Filters
IEEE Access · 2023-01-01
Simon Hagmeyer, Peter Zeiler
Read original paper ↗ ·A Fault Detection Method for a Practical Electro-Hydraulic Variable-Displacement Pump With Unknown Swashplate Moment
IEEE Transactions on Instrumentation and Measurement · 2023-01-01
Bing Hong XU, Xiaochen Huang, Junhui Zhang, Weidi Huang, Fei Lyu, Haogong Xu
Read original paper ↗ ·A Hybrid Approach for Predictive Modeling of KPIs in CNC Machining Operations
Procedia CIRP · 2023-01-01
V.S. Vishnu, Kiran George Varghese, B. Gurumoorthy
Read original paper ↗ ·A neural network-based data-driven local modeling of spotwelded plates under impact
Mechanics & Industry · 2023-01-01
Afsal Pulikkathodi, Élisabeth Longatte, Ludovic Chamoin, Juan Pedro Berro Ramirez, Laurent Rota, Malek Zarroug
Read original paper ↗ ·A physics-based domain adaptation framework for modeling and forecasting building energy systems
Data-Centric Engineering · 2023-01-01
Zack Xuereb Conti, Ruchi Choudhary, Luca Magri
Read original paper ↗ ·A Process-Based Deep Learning Hydrological Model for Daily Rainfall-Runoff Simulation
SSRN Electronic Journal · 2023-01-01
Heng Li, Chunxiao Zhang, W. P. Chu, Dingtao Shen
Read original paper ↗ ·A scientific machine learning framework to understand flash graphene synthesis
Digital Discovery · 2023-01-01
Kianoosh Sattari, Lucas Eddy, Jacob L. Beckham, Kevin M. Wyss, Richard Byfield, Long Qian, James M. Tour, Jian Lin
Read original paper ↗ ·Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
IEEE Access · 2023-01-01
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, Kjetil Johannessen, Omer San, Konstanze Kölle, John Olav Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Cathérine Meißner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, Francesco Scibilia, John Olav Skogås
Read original paper ↗ ·Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator
Computer-aided chemical engineering/Computer aided chemical engineering · 2023-01-01
Sindre Stenen Blakseth, Leif Erik Andersson, Rubén Mocholí Montañés, M. Jagtoyen
Read original paper ↗ ·Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses
Communications in computer and information science · 2023-01-01
Yuantao Fan, Hamid Sarmadi, Sławomir Nowaczyk
Read original paper ↗ ·Integrating AI into Radar System Design: Next-Generation Cognitive Radars
Women in engineering and science · 2023-01-01
Sevgi Zübeyde Gürbüz, Kristine L. Bell, Maria Greco
Read original paper ↗ ·Integrating Teletraffic Theory with Neural Networks for Quality-of-Service Evaluation in Mobile Networks
SSRN Electronic Journal · 2023-01-01
Yin-Chi Chan, Jingjin Wu, Eric W. M. Wong, Chi-Sing Leung
Read original paper ↗ ·Knowledge-Guided Additive Modeling for Supervised Regression
Lecture notes in computer science · 2023-01-01
Yann Claes, Vân Anh Huynh‐Thu, Pierre Geurts
Read original paper ↗ ·Machine learning and biophysical models: how to benefit each other?
Elsevier eBooks · 2023-01-01
Nicolás Duchateau, Óscar Cámara
Read original paper ↗ ·Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion
IEEE Signal Processing Magazine · 2023-01-01
Youzuo Lin, James P. Theiler, Brendt E. Wohlberg
Read original paper ↗ ·Stacking ensemble learning model for predict anxiety level in university students using balancing methods
Informatics in Medicine Unlocked · 2023-01-01
Alfredo Daza Vergaray, Antonio Arroyo-Paz, Juana Bobadilla Cornelio, Oscar Gonzalo Apaza Pérez, Juan Pinto
Read original paper ↗ ·Time-Continuous Microscopic Pedestrian Models: An Overview
Modeling and simulation in science, engineering & technology · 2023-01-01
Raphael Korbmacher, Alexandre Nicolas, Antoine Tordeux, Claudia Totzeck
Read original paper ↗ ·Modelling of Deep Learning-Based Downscaling for Wave Forecasting in Coastal Area
Water · 2023-01-03
Didit Adytia, Deni Saepudin, Dede Tarwidi, Sri Redjeki Pudjaprasetya, Semeidi Husrin, Ardhasena Sopaheluwakan, Gegar S. Prasetya
Read original paper ↗ ·Reply on RC1
Unknown journal · 2023-01-10
Gerd Bürger
Read original paper ↗ ·Big data technology in infectious diseases modeling, simulation, and prediction after the COVID-19 outbreak
Intelligent Medicine · 2023-01-19
Honghao Shi, Jingyuan Wang, Jiawei Cheng, Xiaopeng Qi, Hanran Ji, Claudio José Struchiner, Daniel Antunes Maciel Villela, Karamov Ev, Ali S. Turgiev
Read original paper ↗ ·Leveraging Contextual Cues from a Conceptual Model with Predictive Skills of Machine Learning for Improved Predictability and Interpretability in the Hydrological Processes
Unknown journal · 2023-01-19
Pravin Bhasme, Udit Bhatia
Read original paper ↗ ·Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems
Science China Earth Sciences · 2023-01-19
Huanfeng Shen, Liangpei Zhang
Read original paper ↗ ·Application of Recurrent Neural Networks to Model Bias Correction: Idealized Experiments With the Lorenz‐96 Model
Journal of Advances in Modeling Earth Systems · 2023-01-23
Arata Amemiya, M. Shlok, Takemasa Miyoshi
Read original paper ↗ ·Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks
Renewable Energy · 2023-01-28
Francisco de Nolasco Santos, Pietro D’Antuono, Koen Robbelein, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Read original paper ↗ ·Physics-guided genetic programming for predicting field-monitored suction variation with effects of vegetation and atmosphere
Engineering Geology · 2023-02-06
Zhi-Liang Cheng, K. K. Pabodha M. Kannangara, Lijun Su, Wan‐Huan Zhou, Chen Tian
Read original paper ↗ ·A review of the application of artificial intelligence to nuclear reactors: Where we are and what's next
Heliyon · 2023-02-21
Qingyu Huang, Shinian Peng, Jian Deng, Hui Zeng, Zhuo Zhang, Yu Liu, Peng Yuan
Read original paper ↗ ·Comment on egusphere-2022-1159
Unknown journal · 2023-02-21
Gerd Bürger, Maik Heistermann
Read original paper ↗ ·Rapid response data-driven reconstructions for storm surge around New Zealand
Applied Ocean Research · 2023-02-21
Javier Tausía, Sebastien S Delaux, Paula Camus, Ana Rueda, Fernando Javier Mendez, Karin Roisin Bryan, Jorge Pérez, C. Godoi Rezende Costa, R. Zyngfogel, Antonio S. Cofiño
Read original paper ↗ ·Comment on egusphere-2022-1159
Unknown journal · 2023-02-22
Gerd Bürger, Maik Heistermann
Read original paper ↗ ·A Review of Physics-Informed Machine Learning in Fluid Mechanics
Energies · 2023-02-28
Pushan Sharma, Wai Tong Chung, Bassem M. Akoush, Matthias Ihme
Read original paper ↗ ·Reply on RC2
Unknown journal · 2023-02-28
Gerd Bürger
Read original paper ↗ ·On strictly enforced mass conservation constraints for modelling the Rainfall‐Runoff process
Hydrological Processes · 2023-03-01
Jonathan Frame, Frederik Kratzert, Hoshin V. Gupta, Paul Aaron Ullrich, Grey Nearing
Read original paper ↗ ·Physics-informed machine learning method for modelling transport of a conservative pollutant in surface water systems
Journal of Hydrology · 2023-03-07
Daan Bertels, Patrick Willems
Read original paper ↗ ·Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture
Water Resources Research · 2023-03-14
Simon Topp, Janet Rice Barclay, Jeremy Diaz, Alexander Y. Sun, Xiaowei Jia, Dan Lu, Jeffrey M. Sadler, Alison Appling
Read original paper ↗ ·Hyper-convolutions via implicit kernels for medical image analysis
Medical Image Analysis · 2023-03-16
Tianyu Ma, Alan Q. Wang, Adrian Vasile Dalca, Mert Rory Sabuncu
Read original paper ↗ ·Physics informed machine learning for chemistry tabulation
Journal of Computational Science · 2023-03-17
Amol Salunkhe, Dwyer Deighan, Paul E. DesJardin, Varun Chandola
Read original paper ↗ ·