Results 81 to 90 of about 38,989 (313)

Accuracy analysis in determining the location of underground objects using GPR involving lidar data [PDF]

Archives of Civil Engineering
Ground penetrating radar (GPR) is one of the most useful non-destructive techniques for locating underground objects. Advancements in this technology have facilitated the development of new sensors over the past decade.
Anna Lejzerowicz, Paweł Czernic, Magdalena Pilarska-Mazurek, Kamil Załęgowski, Jakub Górka, Krzysztof Bakuła   +5 more
doaj   +1 more source

Sustainable assessment of structures and materials using ground penetrating radar (GPR)

, 2015
Ground penetrating radar (GPR) is a non-destructive, non-invasive device that can be used to investigate materials in buildings, structures and the ground.
Evans, R
core  

GPR measurements and FDTD simulations for landmine detection

, 2010
Among the technologies used to improve landmine detection, Ground Penetrating Radar (GPR) techniques are being developed and tested jointly by “Sapienza” and “Roma Tre” Universities.
Mattei, E., NOCITO, PAOLO, Lauro, S. E, S. E. Lauro, Balsi, M., C Twizere, TWIZERE, Celestin, S E Lauro, Frezza, F., Twizere, C., ESPOSITO, SALVATORE, P Nocito, P. M. Barone, M Balsi, Pettinelli, E., E. Pettinelli, F Frezza, G Schettini, Nocito, P., S Esposito, FREZZA, Fabrizio, C. Twizere, E Pettinelli, Esposito, S., E. Mattei, PETTINELLI, Elena, Barone, P. M., G. Schettini, E Mattei, P M Barone, BALSI, Marco, LAURO, SEBASTIAN, MATTEI, ELISABETTA, SCHETTINI, Giuseppe   +33 more
core   +1 more source

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

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

A machine learning approach of exploring nexus between geopolitical risk and Indian economic uncertainty: a comparative review [PDF]

Surveys in Mathematics and its Applications
The purpose of the study is to explore the causal connection between geopolitical risk and the Indian Uncertainty Index, with a focus on comparing the old and new uncertainty index.
Bharat Kumar Meher, Abhishek Anand , Virgil Popescu , Ramona Birau, Iuliana Carmen Bărbăcioru   +4 more
doaj  

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Application of GPR and FWD in Assessing Pavement Bearing Capacity

Romanian Journal of Transport Infrastructure, 2013
The process of pavement maintenance and rehabilitation starts by collecting the data which will form the base for evaluation of pavement functional and structural condition.
Domitrović Josipa, Rukavina Tatjana
doaj   +1 more source

Structure and nature of the Palaeozoic basement based on magnetic, gravimetric and seismic investigations in the central Upper Rhinegraben

Geothermal Energy, 2018
New and old magnetic and gravimetric data acquired in the frame of a geothermal project have been processed in N. Vosges and the adjacent Rhinegraben in order to identify the nature and tectonic framework of the graben basement and to select areas with a
J. B. Edel, V. Maurer, E. Dalmais, A. Genter, A. Richard, O. Letourneau, R. Hehn   +6 more
doaj   +1 more source

Dielectric and magnetic anomaly imaging from GPR data

, 2010
This paper deals with the reconstruction of buried targets exhibiting both dielectric and magnetic characteristics, starting from GPR data collected at the interface air/soil.
Sergio Negri, Elena Pettinelli, Francesco Soldovieri, Persico R, PETTINELLI, Elena, Soldovieri F, NEGRI, Sergio Luigi, R Persico, Negri S, R. Persico, E. Pettinelli, F. Soldovieri   +11 more
core   +1 more source