Results 201 to 210 of about 256,802 (314)

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

PEAO: a bio-inspired parallel optimizer with a multi-strategy communication mechanism for breast cancer diagnosis. [PDF]

Sci Rep
Li H, Govindarajan V, Ang TF, Ayadi M, Ku CS, Leong MC, Shabaruddin FH, Ishak WZW, Por LY.   +8 more
europepmc   +1 more source

Conversing with machines: How AI is changing the way scientists think

Quantitative Biology, Volume 14, Issue 2, June 2026.
Anna Viktorovna Gavrilova, Carlo Galli
wiley   +1 more source

Stochastic Facies Modeling of the Lower‐Burdekin Delta Aquifer Based on Lithological Interpretation From Legacy Boreholes

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract The spatial heterogeneity of aquifer properties plays an important role in the movement of groundwater and contaminants. The characterization of heterogeneity from field observations is often needed to develop groundwater models used to inform management decisions.
Guillaume Pirot, Dylan J. Irvine, S. Cristina Solórzano‐Rivas, Adrian D. Werner   +3 more
wiley   +1 more source

Enhancing the LEACH protocol and lightweight chaotic cryptography for secure data transmission in wireless sensor networks. [PDF]

Sci Rep
Zarei M, Fatehi Dindarlou MH, Taghizadeh M, Jamali J.   +3 more
europepmc   +1 more source

The persistent advantage of model‐based phylogenetic methods for single‐trait prediction

Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1032-1041, April 2026.
Abstract Reliable predictions of biological traits support a wide range of applications, from bioprospecting to informing conservation priorities. Given the complexity and diversity of trait evolution, robust methods for trait prediction are essential for drawing meaningful evolutionary inferences from phylogenetic data.
Adam Richard‐Bollans, Daniele Silvestro   +1 more
wiley   +1 more source

Innovative parallel grasshopper optimization algorithm for reliability optimization. [PDF]

MethodsX
Singh D, Chand N.
europepmc   +1 more source

Customer–Robot Interaction Beyond the First Encounter: A Reciprocal Framework and Quadrant Model for Value Co‐Creation

International Journal of Consumer Studies, Volume 50, Issue 3, April 2026.
ABSTRACT As service robots move from factory floors to frontline service encounters, their success increasingly depends on the quality of customer‐robot interaction (CRI). Existing studies, however, remain fragmented and predominantly grounded in linear technology adoption models, offering limited insight into the dynamic and reciprocal nature of CRI ...
Long Pham, Tatbeeq Raza‐Ullah, Hamid Shaker   +2 more
wiley   +1 more source

Optimizing solar power forecasting with metaheuristic algorithms and deep learning models for photovoltaic grid connected systems. [PDF]

Sci Rep
Mohamad Radzi PNL, Mekhilef S, Mohamed Shah N, Akhter MN, Seyedmahmoudian M, Stojcevski A.   +5 more
europepmc   +1 more source

Empirical Literature on Fiscal Multipliers: A Bibliometric Approach, 2002–2023

Journal of Economic Surveys, Volume 40, Issue 2, Page 783-820, April 2026.
ABSTRACT This paper reviews the empirical literature on fiscal multipliers through a bibliometric approach, analyzing 337 journal articles published between 2002 and 2023. The articles are categorized based on empirical methodologies, fiscal shock identification strategies, geographic focus, exchange rate arrangements, and macro‐financial regime ...
Margarida Correia Varela, Ana Paula Ferreira Ribeiro   +1 more
wiley   +1 more source