Results 231 to 240 of about 312,475 (283)

Operational Markov matrix formulation for structures in continuum plasma models. [PDF]

Sci Rep
Panday N, Sharma D.
europepmc   +1 more source

A PSO-optimized self-supervised convolutional network for robust image watermark removal. [PDF]

Sci Rep
Javdani Gandomani T, Karimi M, Mosleh M, Dashti M.   +3 more
europepmc   +1 more source

When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis

Agribusiness, EarlyView.
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang, Andrew E. Anderson, Nicholas J. Pates, Eunchun Park   +3 more
wiley   +1 more source

Semi-decentralized federated learning with client pairing for efficient mutual knowledge transfer. [PDF]

Sci Rep
Yang D, Lee J, Choi SG.
europepmc   +1 more source

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

AIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen, Y. Sterkenburgh, Y. Tang, N. G. Deen, M. W. Baltussen   +4 more
wiley   +1 more source

IMAU-Net: A Hybrid Multi-Scale Deep Learning Framework for Liver Segmentation from Laparoscopic Images. [PDF]

Sensors (Basel)
Waseem SS, Shaikh S, Hassan SR.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Vorticity budget analysis of a mesoscale convective vortex during the July 2022 flash flood in Northern Tehran. [PDF]

Sci Rep
Pegahfar N, Gharaylou M, Alizadeh O.
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

GICP-Based Registration Flow Improvement and Planar Consistency Evaluation for Heterogeneous Multi-LiDAR Systems in Grain Warehousing Robots. [PDF]

Sensors (Basel)
Wu L, Wang H, Li Q.
europepmc   +1 more source