Results 121 to 130 of about 33,884 (245)

GPR 3D PROFILE OF THE ADEQUATENESS OF UNDERGROUND DAMS IN A SUB-WATERSHED OF THE BRAZILIAN SEMIARID

, 2018
Alexandre de Oliveira Lima, Francisco Pinheiro Lima‐Filho, Nildo da Silva Dias, João Andrade dos Reis Júnior, Anderson De Medeiros Sousa   +4 more
openalex   +1 more source

Subsurface Investigations of Cryo‐Hydrogeological Features in a High Arctic Catchment Under Transition

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT In this study, the internal structure and seasonal variations of cryo‐hydrogeological features were investigated in the Fuglebekken catchment, located near the Polish Polar Station Hornsund in Svalbard. Over a few years, rising air temperatures and intensified water circulation have significantly altered the distribution, extent, and state of ...
Wawrzyniak Tomasz, Oryński Szymon, Marciniak Artur, Osuch Marzena   +3 more
wiley   +1 more source

Proximal Remote Sensing e Spatial Analysis per la Conservazione delle Pitture Parietali Pompeiane. il Caso del Gymnasium

Archeomatica, 2019
The paper presents a combination of geophysics technologies and spatial analysis methods for the analysis of an improper geographical space: the frescoe of the east wall at the Gymnasium (Pompei).
Maria Danese, Nicola Masini, Maria Sileo, Rosa Lasaponara   +3 more
doaj  

Complexity of GPR associations.

, 2016
M Wolpert Daniel, J. Herrgård Markus, Rocha Isabel   +2 more
openalex   +2 more sources

The European honey buzzard (Pernis apivorus) as an ally for the control of the invasive yellow‐legged hornet (Vespa velutina nigrithorax)

Pest Management Science, Volume 81, Issue 4, Page 2237-2247, April 2025.
The predatory effect of the honey‐buzzard affects the reproductive performance of Asian‐hornet colonies, decreasing the density of workers over distance and time. The foraging distances of the honey‐buzzard concentrates within the first 2000 m from nest, which supports the results observed.
Jorge Ángel Martín‐Ávila, Luisa María Díaz‐Aranda, José Manuel Fernández‐Pereira, Salvador Rebollo   +3 more
wiley   +1 more source

Parameter investigation for urban surface‐energy balance: A large‐eddy simulation study

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Large eddy simulation modelling is used to investigate the variation in surface‐energy balance (SEB) across an ensemble of morphometrically identical urban geometries. The geometries have the same plan‐area fraction, vegetated fraction, and frontal‐area index, but are unique in terms of building and green‐space layout.
Christopher E. Wilson, Jonathan K. P. Shonk, Sylvia I. Bohnenstengel, Athanasios Paschalis, Maarten van Reeuwijk   +4 more
wiley   +1 more source

GPR Applications Across Engineering and Geosciences Disciplines in Italy: A Review [PDF]

, 2016
Andrea Benedetto, Fabio Tosti, Luca Bianchini Ciampoli, Fabrizio D’Amico   +3 more
openalex   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling. [PDF]

Sci Rep
Nguyen HP, Nguyen DT, Kim JM.
europepmc   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim, Huadong Mo, Hemanshu Pota, Daoyi Dong   +3 more
wiley   +1 more source