Results 171 to 180 of about 94,999 (279)
Formal Security of an Identity-Based Proxy Signature Scheme in the Random Oracle Model [PDF]
Mohammad Beheshti-Atashgah +2 more
openalex +1 more source
21st‐Century Mangrove Expansion Along the Southeastern United States
Global warming is driving poleward range shifts worldwide, including the northward expansion of tropical mangroves along the Atlantic coast of North America. In this region, warming winters are enabling mangroves to encroach into salt marsh–dominated temperate latitudes, potentially transforming wetland ecosystem function and services. To assess future
Lucia I. A. Enes Gramoso +5 more
wiley +1 more source
AI-Driven Cybersecurity in IoT-Based Systems. [PDF]
Zhao W, Wang P.
europepmc +1 more source
ABSTRACT While research suggests that bureaucratic performance is critically contingent on employee selection procedures, few studies examine the perceived legitimacy of different recruitment regimes in the eyes of citizens. This study investigates how perceived bureaucratic legitimacy is shaped by the principles guiding the selection process (merit ...
Monika Bauhr, Nicholas Charron
wiley +1 more source
Integrated forecasting and deep reinforcement learning for price-based self-scheduling of PV-BESS: Utility-scale evidence in Chile. [PDF]
Pérez J, Lobos G, Bonacic M.
europepmc +1 more source
Weakened Random Oracle Models with Target Prefix.
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
ABSTRACT Aim Using correlative species distribution models (SDMs) to predict species' range shifts may have limited predictive power when extrapolating into climatic conditions outside those used to train the models. The inclusion of physiological responses to add mechanistic knowledge can increase the reliability of predictions, but it is seldom ...
Sandra Hernández +5 more
wiley +1 more source
Low-Latency Marine-Based OTFS Echo Parameter Estimation Enabled by AI. [PDF]
Hussain K, Yoo J.
europepmc +1 more source
ABSTRACT The prediction of extreme events in time series is a fundamental problem arising in many financial, scientific, engineering, and other applications. We begin by establishing a general Neyman–Pearson‐type characterization of optimal extreme event predictors in terms of density ratios.
Victor Verma, Stilian Stoev, Yang Chen
wiley +1 more source
Collaborative Inference for Accelerated Failure Time Model Using Clinical Center-Level Summary Statistics. [PDF]
Hu M, Shi X, Gong Z, Song PX.
europepmc +1 more source

