Results 271 to 280 of about 50,369 (305)

Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine tourist‐contributed images with camera trap‐based monitoring data to estimate leopard (Panthera pardus) population densities using multi‐session spatial capture–recapture models. We show that incorporating tourist observations improves precision and yields an overall density estimate of 7.02 leopards per 100 km2, while ...
Rachael S. Leeman   +6 more
wiley   +1 more source

UAVs unveil the role of small scale vegetation structure on wader nest survival

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro   +5 more
wiley   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen   +7 more
wiley   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan   +5 more
wiley   +1 more source

Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

open access: yesSustainable Development, EarlyView.
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori   +3 more
wiley   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

open access: yesSustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi   +3 more
wiley   +1 more source

Securing vehicular ad hoc networks [PDF]

open access: possibleJournal of Computer Security, 2007
Vehicular networks are very likely to be deployed in the coming years and thus become the most relevant form of mobile ad hoc networks. In this paper, we address the security of these networks. We provide a detailed threat analysis and devise an appropriate security architecture.
Raya, Maxim, Hubaux, Jean-Pierre
openaire   +2 more sources

Vehicular Backbone Network Approach to Vehicular Military Ad Hoc Networks

MILCOM 2013 - 2013 IEEE Military Communications Conference, 2013
We consider a tactical command center that issues broadcast data message flows for dissemination to all vehicles traveling as team members of a convoy, or along a multilane linear road segment. We propose a networking protocol which uses location aware data to identify and elect certain vehicles that reside at preferred locations to act as relay nodes,
Izhak Rubin   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy