Results 101 to 110 of about 7,921,142 (232)

Machine learning at ECMWF

, 2020
Talk at the 3rd NOAA Workshop on leveraging AI in Environmental Sciences;
openaire   +1 more source

Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery

, 2021
Aditya Nandy, Chenru Duan, Heather J. Kulik   +2 more
openalex   +2 more sources

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling [PDF]

, 2018
Simukayi Mutasa, Peter Chang, Carrie Ruzal‐Shapiro, Rama S. Ayyala   +3 more
openalex   +1 more source

Path Loss Prediction Based on Machine Learning Methods for Aircraft Cabin Environments [PDF]

, 2019
Jinxiao Wen, Yan Zhang, Guanshu Yang, Zunwen He, Wancheng Zhang   +4 more
openalex   +1 more source

polyG2G: A Novel Machine Learning Algorithm Applied to the Generative Design of Polymer Dielectrics

, 2021
Rishi Gurnani, Deepak Kamal, Tran Doan Huan, Harikrishna Sahu, Kenny Scharm, Usman Ashraf, Rampi Ramprasad   +6 more
openalex   +2 more sources

Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

, 2021
Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Kyung Sup Kwak   +5 more
openalex   +1 more source

Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades

Energies
This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection through the synergistic use of thermal and RGB imaging, coupled with advanced deep learning techniques.
Majid Memari, Mohammad Shekaramiz, Mohammad A. S. Masoum, Abdennour C. Seibi   +3 more
doaj   +1 more source

Machine learning methods to support personalized neuromusculoskeletal modelling

, 2020
David J. Saxby, Bryce A. Killen, Claudio Pizzolato, Christopher P. Carty, Laura E. Diamond, Luca Modenese, Justin Fernandez, Giorgio Davico, Martina Barzan, Gavin K. Lenton, Simao Brito da Luz, Edin Suwarganda, Daniel Devaprakash, Rami K. Korhonen, Jacqueline Alderson, Thor F. Besier, Rod Barrett, David G. Lloyd   +17 more
openalex   +2 more sources

Advancing spatio-temporal processing through adaptation in spiking neural networks

Nature Communications
Implementations of spiking neural networks on neuromorphic hardware promise orders of magnitude less power consumption than their non-spiking counterparts.
Maximilian Baronig, Romain Ferrand, Silvester Sabathiel, Robert Legenstein   +3 more
doaj   +1 more source

Machine learning methods to improve bedside fluid responsiveness prediction in severe sepsis or septic shock: an observational study [PDF]

, 2021
B. Bataille, Jade de Selle, Pierre-Etienne Moussot, Philippe Marty, Stein Silva, Pierre Cocquet   +5 more
openalex   +1 more source