Bio-Inspired Energy-Efficient Routing for Wireless Sensor Networks Based on Honeybee Foraging Behavior and MDP-Driven Adaptive Scheduling. [PDF]
Chen F +5 more
europepmc +1 more source
Inferring the Abundance of an Island Megaherbivore From Semi‐Structured Distance Sampling
We use a hierarchical Bayesian distance‐sampling model to infer the atoll‐wide abundance and habitat‐specific density of Aldabra giant tortoises from long‐term, irregular transect monitoring on Aldabra Atoll (Seychelles). The detection‐corrected wet‐season estimate indicates a large, stable population of ~182,500 individuals (2018–2021), supporting the
Lara B. Hillyard +9 more
wiley +1 more source
Dynamic urban land surface monitoring in developing countries using remote sensing and machine learning: real-time investigational approach. [PDF]
Khan AA +7 more
europepmc +1 more source
Global analysis suggests nitrogen deposition as an underestimated driver of vegetation greening
The local effects of atmospheric nitrogen deposition on plants are well established, yet a global empirical analysis of nitrogen deposition effects on vegetation dynamics is missing. Here, we assess how nitrogen deposition, alongside other global change drivers such as fire, and changes in temperature, precipitation and human land use, is related to ...
Jonas Trepel +7 more
wiley +1 more source
Cooperative UAV swarms for zero knowledge verification of edge generative AI using trust-aware multiagent learning. [PDF]
Avazov K +6 more
europepmc +1 more source
Our key findings show that polyurethane passive air samplers can sample insects, although highly abundant insects tend to be overrepresented. Our results also suggest that airborne eDNA might give us a broad temporal image of the insect communities over several weeks, rather than a snapshot of when samples are collected.
Jordi Vilanova +4 more
wiley +1 more source
A methodological framework and experimental protocol for proactive human-robot collaboration with multimodal intention prediction and adaptive control. [PDF]
Escobar-Naranjo J +4 more
europepmc +1 more source
ABSTRACT In spatial regression models, unmeasured spatial variables, represented by spatial random effects, are typically not independent of observed covariates and can induce significant bias in covariate effect estimates. This fundamental problem, known as spatial confounding, has been extensively studied, but sometimes with puzzling and seemingly ...
Emiko Dupont, Isa Marques, Thomas Kneib
wiley +1 more source
Infinite hidden Markov models can dissect the complexities of learning. [PDF]
Bruijns SA +12 more
europepmc +1 more source
We show that impacts of agriculture on arthropod biodiversity are notably less negative in Europe than in other regions, which we find is driven by a degraded baseline, a selection bias of reference sites, and novel species compositions in agriculture that favour widespread habitat generalists and non‐native species.
Daan Scheepens +3 more
wiley +1 more source

