Results 81 to 90 of about 10,881 (265)
The Ground-Penetrating Radar Image Matching Method Based on Central Dense Structure Context Features
Remote SensingSubsurface structural distribution can be detected using Ground-Penetrating Radar (GPR). The distribution can be considered as road fingerprints for vehicle positioning.
Jie Xu +5 more
doaj +1 more source
Archaeological Prospection, EarlyView.ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Hyperbolic Detection of Ground Penetrating Radar for Buried Pipes Utilities Using Viola Jones [PDF]
Iranian Journal of Electrical and Electronic EngineeringGPR (Ground Penetrating Radar) is well-known as an effective non-invasive imaging approach for shallow nature underground discovery, like finding and locating submerged objects.
Nurul Syahirah Mohd Ideris +3 more
doaj
Archaeological Prospection, EarlyView.ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro +4 more
wiley +1 more source
Transport infrastructures assessment using multiple GPR configurations and FWD
MATEC Web of Conferences, 2018 This article presents a case study where FWD and GPR, two NDT methods, were combined to assess the bearing capacity of a flexible pavement. The thickness of the bituminous layer was estimated using a coreless GPR approach: the Common Mid-Point method ...
Marecos Vânia +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study explores the impact of green human resource management (GHRM) practices on three distinct green voice behaviors. Grounded in the person‐organization fit theory, the research examines how GHRM practices influence employees' willingness to express their environmental concerns and ideas while investigating the role of the Big Five ...
Pragya Gupta +5 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the drivers of biodiversity disclosure and the interplay between firm strategies and national institutions in shaping transparency. Using a global panel of 4703 firms across 40 economies from 2013 to 2022, we integrate differentiation, signalling and institutional perspectives to explain variation in reporting behaviour ...
Chi Chen +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT In a macroeconomic environment characterised by systemic disruptions and global uncertainty, companies are forced to reconfigure their sustainability strategies. This study examines the combined impact of geopolitical and climate risks on corporate commitment to and actual progress toward the United Nations (UN) Sustainable Development Goals ...
Isabel‐María García‐Sánchez
wiley +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
Cereal Chemistry, EarlyView.ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source