Results 201 to 210 of about 79,498 (272)

Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs

Networks, Volume 87, Issue 4, Page 404-427, June 2026.
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w) is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP‐hard.
Jannick Borowitz, Ernestine Großmann, Christian Schulz   +2 more
wiley   +1 more source

Organoid-microglia system for modeling the immune microenvironment of the brain and retina. [PDF]

Front Immunol
Yu J, Tang B, Gu Z, Wang G, Liu A.
europepmc   +1 more source

Impact of Dataset Size and Hyperparameters Tuning in a Variational Autoencoder for Structure–Property Mapping in Porous Metamaterials

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT This study extends a deep learning framework for the inverse reconstruction of open‐cell porous metamaterials targeting specific hydraulic properties such as porosity and intrinsic permeability. Building on our recent work that employed a property‐variational autoencoder (pVAE) for structure–property mapping, the current contribution examines ...
Phu Thien Nguyen, Badr‐eddine Ayouch, Yousef Heider, Fadi Aldakheel   +3 more
wiley   +1 more source

Task-specific CNN size reduction through content-specific pruning. [PDF]

Front Robot AI
Konyrbaev N, Lukac M, Ibadulla S, Diveev A, Sofronova E, Galymzhankyzy A.   +5 more
europepmc   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

Knowledge-based question answering using graph neural networks and contextual language representations. [PDF]

Sci Rep
Samir M, Fathy N, Gad W.
europepmc   +1 more source

Co‐pathologies and biological processes beyond amyloid‐beta and tau in people with Alzheimer's disease: Evidence from clinical cohort studies

Journal of Internal Medicine, Volume 299, Issue 6, Page 694-710, June 2026.
Abstract Alzheimer's disease (AD) is neuropathologically defined by amyloid‐beta (Aβ) plaques and tau neurofibrillary tangles. However, co‐pathologies and other pathobiological processes are involved in the pathogenesis of AD, contributing to neurodegeneration and clinical symptoms.
Daniel Ferreira, Tomasz Chmiela, Maria Eriksdotter, Clifford R. Jack Jr., Grégoria Kalpouzos, Anna Marseglia, Patrizia Mecocci, Agneta Nordberg, Dorota Religa, Eric Westman   +9 more
wiley   +1 more source

Explainable Structured Pruning of BERT via Mutual Information. [PDF]

Entropy (Basel)
Huang H, Song HJ, Zhao Q.
europepmc   +1 more source

Machine Learning Reveals Hidden Bias in ERA5 Cloud Heights Over Earth's Third Pole

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Accurate cloud base height (CBH) over the Tibetan Plateau—Earth's Third Pole—is essential for monsoon dynamics, glacial melt, and water security, yet ERA5 systematically underestimates it. Here, we present a two‐step machine learning framework to mitigate this hidden bias.
W. Zhao, Y. N. Wang, Y. B. Pan, L. J. Pan, Y. H. Bi, X. Wu, Y. F. Tian, Y. H. Qiu, T. Q. Wang, D. R. Lu   +9 more
wiley   +1 more source