Results 111 to 120 of about 10,318 (256)

Anonymous aggregator election protocol for wireless sensor networks

open access: yesTongxin xuebao, 2015
An anonymous cluster head election protocol in clustered wireless sensor networks was proposed.The protocol detailed the decision rules and mode of cluster construction while an anonymous veto protocol based on bilinear pairings was adopted to verify ...
Shuai FU   +3 more
doaj   +2 more sources

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

Certifying Anosov representations

open access: yesBulletin of the London Mathematical Society, Volume 58, Issue 4, April 2026.
Abstract By providing new finite criteria which certify that a finitely generated subgroup of SL(d,R)$\operatorname{SL}(d,\operatorname{\mathbb {R}})$ or SL(d,C)$\operatorname{SL}(d,\mathbb {C})$ is projective Anosov, we obtain a practical algorithm to verify the Anosov condition.
J. Maxwell Riestenberg
wiley   +1 more source

Counting problems for orthogonal sets and sublattices in function fields

open access: yesMathematika, Volume 72, Issue 2, April 2026.
Abstract Let K=Fq((x−1))$\mathcal {K}=\mathbb {F}_q((x^{-1}))$. Analogous to orthogonality in the Euclidean space Rn$\mathbb {R}^n$, there exists a well‐studied notion of ultrametric orthogonality in Kn$\mathcal {K}^n$. In this paper, we extend the work of [4] on counting problems related to orthogonality in Kn$\mathcal {K}^n$.
Noy Soffer Aranov, Angelot Behajaina
wiley   +1 more source

Urban Heat Island in the Eastern Mediterranean and Middle East: Multi‐City Approach in Regional Climate Modelling

open access: yesInternational Journal of Climatology, Volume 46, Issue 4, 30 March 2026.
This study presents that the WRF model, coupled with bulk urban parameterization, effectively captures the summer urban heat island (UHI) patterns across the Eastern Mediterranean and Middle East, showing stronger night‐time surface UHIs (5°C–6°C) and daytime surface cool islands (up to 12.5°C).
Katiana Constantinidou   +4 more
wiley   +1 more source

Invariant Bilinear Differential Pairings on Parabolic Geometries

open access: yes, 2009
This thesis is concerned with the theory of invariant bilinear differential pairings on parabolic geometries. It introduces the concept formally with the help of the jet bundle formalism and provides a detailed analysis. More precisely, after introducing the most important notations and definitions, we first of all give an algebraic description for ...
openaire   +2 more sources

EOF‐Based Bias Correction of Near‐Surface Wind Speed Over China Reveals Stronger Future Trends and Variability

open access: yesGeophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract As near‐surface wind speed (NSWS) largely controls wind power generation, robust projection is vital to wind energy planning and broader sustainability goals. However, the predictive skill of climate models for NSWS remains uncertain. Analysis of Coupled Model Intercomparison Project Phase 6 simulations shows that the models reproduce the mean
Yang Xu   +4 more
wiley   +1 more source

A Characterisation of Extreme‐Heat Occurrence and Its Trends in Mexico Based on a High Resolution Dataset

open access: yesInternational Journal of Climatology, Volume 46, Issue 3, 15 March 2026.
As Mexico faces rising temperatures and increasing events of extreme heat, improvements in the analysis and characterisation of these phenomena are necessary, as they offer new insights into the spatial variability of such trends and their underlying causes.
David Maximiliano Zermeño‐Díaz
wiley   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

open access: yesAdvanced Science, Volume 13, Issue 14, 9 March 2026.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang   +6 more
wiley   +1 more source

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