Results 161 to 170 of about 32,770 (259)

Small-Satellite System Fault Diagnosis via a Temporal-Spatial 3D-CNN with Imbalanced-Aware Training. [PDF]

Sensors (Basel)
Wang B, Goh ST, Tissera SC, Rai A, Zhang L.   +4 more
europepmc   +1 more source

From steps to home ranges: How habitat disturbance influences the movement drivers of an arboreal primate

Journal of Animal Ecology, EarlyView.
Challenging the narrative about howler monkeys' high resilience to anthropogenic changes, our multiscale analysis reveals the costs of habitat disturbance to their movement ecology. We identify thermal limitations, reduced travel efficiency, and significant spatial saturation.
Anaid Cárdenas‐Navarrete, Sarie Van Belle, Ulises Lara‐García, Manuel Guzmán‐Aguilar, Onja H. Razafindratsima   +4 more
wiley   +1 more source

Human hunters are no substitute for vanishing apex predators

Journal of Animal Ecology, EarlyView.
Our study reveals that human hunters fail to replicate the collective and individual ecological functions of natural apex predators in sustaining biodiversity and promoting stable spatial patterns. These insights are vital for rethinking predator conservation and wildlife management in human‐dominated landscapes.
Ying Geng, Christos Mammides, Ru‐Chuan He, Lin Wang, Kang Luo, Zhong‐Yuan Zhang, Bo Wang, Rui‐Chang Quan   +7 more
wiley   +1 more source

Preserving evidence integrity in full file system extractions: Assessing hash inconsistencies and potential solutions

Journal of Forensic Sciences, EarlyView.
Abstract Smartphone manufacturers' enhanced privacy and security measures, such as File‐Based Encryption (FBE), have disrupted traditional data extraction techniques, necessitating the adoption of Full File System Extraction (FFS). FFS requires booting a smartphone, decrypting its UserData partition, and accessing files individually, a process that ...
Sanghyun Yoo, Yunji Park, Doowon Jeong
wiley   +1 more source

Toward Cybersecurity Testing and Monitoring of IoT Ecosystems. [PDF]

SN Comput Sci
Taylor S, Jaatun MG, Omerovic A, Borgaonkar R, Seidl R, Goetze N, Kuhr J, Prosvirin D, Leone M, Kuznetsov A, Gritskevich A, Mpantis A, Perales OG, Wenning BL, Duttagupta S.   +14 more
europepmc   +1 more source

Consistent Choice of Prey Source Habitat Across Diverse Landscapes by a Selective Insectivorous Bat

Integrative Zoology, EarlyView.
After analyzing the diet of the greater horseshoe bats in three distinct colonies, we identified significant spatial and temporal differences, particularly noting a stronger reliance on riparian habitats in Mediterranean areas. The species exhibits great ecological adaptability with strong plasticity in prey source habitats, shifting preferences among ...
Miren Aldasoro, Oihane Diaz de Cerio, Danilo Russo, Nerea Vallejo, Lander Olasagasti, Inazio Garin, Urtzi Goiti, Joxerra Aihartza   +7 more
wiley   +1 more source

FG-DeformT: Grouped Deformable Temporal Modeling for Flight-Level Aircraft Anomaly Detection. [PDF]

Sensors (Basel)
He Y, Lu Z, Deng Y, Wang D.
europepmc   +1 more source

Harnessing edge computing and citizen science: A new prototype design for continental‐scale acoustic monitoring in Australia and beyond

Methods in Ecology and Evolution, EarlyView.
Abstract Inadequate monitoring of biodiversity is a characteristic of conservation the world over. The potential of acoustic monitoring is compelling, although the challenges remain substantial. Effective solutions require transdisciplinary collaboration among stakeholders, a focus on open‐source development, and flexible, multipronged technical ...
Andrea S. Griffin, Oliver Kelly, Eric Johns, Stephan Chalup, Alex Callen, Darren Southwell, Matt W. Hayward, Ysobel Sims   +7 more
wiley   +1 more source

A Low-Code Containerized Edge Architecture for IIoT Telemetry Orchestration: Mitigating Cloud API Rate Limits Through Dual-Path Routing. [PDF]

Sensors (Basel)
Rosa-Bilbao J.
europepmc   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source