Results 201 to 210 of about 3,757,496 (343)

SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach

, 2016
R. Kromanis, P. Kripakaran
semanticscholar   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Flame monitoring and anomaly detection in steel reheating furnaces based on thermal video using a hybrid AI computer vision system. [PDF]

Sci Rep
Vanhaeverbeke J, Verstockt S, Van Hoecke S.   +2 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Seismic and gravity constraints on plate flexure and mantle rheology along the whole Hawaiian-Emperor seamount chain. [PDF]

Nat Commun
Watts AB, Xu C, Wessel P, Shillington DJ, Boston B, Dunn R.   +5 more
europepmc   +1 more source

Observed Tropical Cyclone Eye Thermal Anomaly Profiles Extending above 300 hPa

, 2013
S. Durden
semanticscholar   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Cenozoic evolution of earth's strongest geoid low illuminates mantle dynamics beneath Antarctica. [PDF]

Sci Rep
Glišović P, Forte AM.
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions. [PDF]

Sci Rep
Prantikos K, Lee T, Hua TQ, Tsoukalas LH, Heifetz A.   +4 more
europepmc   +1 more source