Results 11 to 20 of about 502 (96)
Spatiotemporal mapping the usable space of free‐roaming equids across the western United States
Identification of the inter‐decadal (2010‐2011) enhancement‐degradation gradients in the usable space for wild equid Herd Management Areas in the Great Basin, USA. Abstract Management of feral equids in the American West is hindered by the lack of a formal habitat map and monitoring system.
Alexander Hernandez +3 more
wiley +1 more source
Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG
Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann +2 more
wiley +1 more source
Stochastic Pairwise MIS for Unbiased Large‐Kernel Reuse in Real‐Time
Abstract Spatiotemporal resampling methods such as ReSTIR decrease noise in Monte Carlo rendering of dynamic content by reusing paths across frames and pixels. Standard ReSTIR reuses spatially from a small number of randomly selected neighbors. This reuse suffers when few neighbors contain contributing samples, reducing quality toward that of the ...
Trevor Hedstrom +4 more
wiley +1 more source
Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi +2 more
wiley +1 more source
Abstract The Anti‐Coercion Instrument (ACI), the most powerful tool in the EU's geoeconomic arsenal, has its origins in the first Trump US presidency and has recently been brandished again as a potential response to Trump's coercive tariffs. Its centrality to the EU's ‘geoeconomic turn’ and the twists and turns of its legislative history have been ...
Jaša Veselinovič
wiley +1 more source
ABSTRACT In the complex interplay between agriculture and wildlife, free‐living predators pose a unique set of challenges. In western New South Wales (NSW), free‐living canids (legislatively defined as ‘wild dogs’; Canis familiaris; which currently includes dingoes, feral modern dogs and their hybrids) are managed due to their impacts on livestock ...
Deane Smith +5 more
wiley +1 more source
Abstract Active learning (AL) has emerged as a pedagogical response to diverse educational challenges across multiple disciplines. This scoping review maps the terrain of AL implementation patterns, examining AL practices in Business Education, Information and Communication Technology (ICT) Engineering, Mathematics, and Statistics from 2015 until the ...
Dubravka Novkovic +2 more
wiley +1 more source
Geographic Patterns in I2P Peer Selection: An Empirical Network Topology Analysis
ABSTRACT The Invisible Internet Project (I2P) routes data via encrypted, decentralized tunnels. Peer selection can significantly affect security and performance. This empirical study examines whether geographic location systematically influences I2P's routing topology.
Siddique Abubakr Muntaka +3 more
wiley +1 more source
Discover Class‐Based Feature Distribution by Encoding Discrete Data for Classification
ABSTRACT The self‐organisation map is an unsupervised learning technique that discovers patterns and relationships in data without requiring labelled training data. Inspired by the self‐organisation map, Self‐Organised Granular encoding has been shown to be effective for generating reliable discrete data clustering results as it is a data encoding ...
Qiang Fu +3 more
wiley +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source

