Results 41 to 50 of about 9,247 (178)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Ice volume distribution and implications on runoff projections in a glacierized catchment [PDF]

, 2012
A dense network of helicopter-based ground-penetrating radar (GPR) measurements was used to determine the ice-thickness distribution in the Mauvoisin region.
A. Bauder, D. Farinotti, H. Maurer, J. Gabbi   +3 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Application of wavelet analysis in tool wear evaluation using image processing method [PDF]

, 2018
Tool wear plays a significant role for proper planning and control of machining parameters to maintain the product quality. However, existing tool wear monitoring methods using sensor signals still have limitations.
Lee, Woon Kiow, Ong, Pauline, Saleh, Aslinda, Sia, Chee Kiong, Talib, Norfazillah, Tuan Muda, Syed Mohamad Aiman   +5 more
core   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Locating Oil Spills Under Sea Ice Using Ground-Penetrating Radar [PDF]

, 2008
The accelerating level of interest in arctic oil and gas exploration was demonstrated in the overwhelming response to recent lease sales in the Alaskan OCS region.
Bradford, John H., Dickens, David F., Liberty, Lee M.   +2 more
core   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Time‐Domain Geoelectrical Modeling and Experimental Validation of Ground Potential Rise in Multilayer Soil Structures during Fault Events

Energy Science & Engineering
Accurate characterization of subsurface electrical behavior during high‐energy fault events is critical for both geotechnical safety assessment and the protection of power infrastructure.
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Mohamed Metwally Mahmoud, Kenfack Saatong Tsobze, Pradeep Jangir, Muhammad Suhail Shaikh, Aseel Smerat   +7 more
doaj   +1 more source

Radio-echo sounding and ice volume estimates of western Nordenskiöld Land glaciers, Svalbard [PDF]

, 2013
As part of ongoing work to obtain a reliable estimate of the total ice volume of Svalbard glaciers and their potential contribution to sea-level rise, we present here volume calculations, with detailed error estimates, for ten glaciers on western ...
Lapazaran Izargain, Javier Jesús, Lavrentiev, Nikita, Macheret, Yu, Machío, F., Martín Español, Alba, Navarro Valero, Francisco Jose, Otero García, Jaime, Vasilenko, Evgeniy   +7 more
core   +2 more sources

Cortical bone distribution in the human mandibular symphysis: Ontogenic and morphometric approaches in archeological context

The Anatomical Record, EarlyView.
Abstract The human mandibular symphysis concentrates multiaxial loads during function and remodels throughout growth, but the precise mechanisms underlying cortical bone shape during growth remain relatively unexplored. Approaches based solely on thickness or external cortical contours provide only partial insights and do not capture the functional ...
Ana Ribeiro, Elsa Garot, Christine Couture, Pierre‐Hadrien Decaup   +3 more
wiley   +1 more source