Two-Stage Wildlife Event Classification for Edge Deployment.

Aditya S Viswanathan, Adis Bock, Zoe Bent, Mark A Peyton, Daniel M Tartakovsky, Javier E Santos

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aditya S ViswanathanDepartment of Energy Science and Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0009-0008-6773-4451

Adis BockPajarito Environmental Education Center, Los Alamos, NM 87544, USA.

Zoe BentRubenstein School for Environment and Natural Resources, University of Vermont, Burlington, VT 05405, USA.

Mark A PeytonDepartment of Fish, Wildlife and Conservation Ecology, New Mexico State University, Las Cruces, NM 88003, USA.ORCID 0009-0006-6607-6544

Daniel M TartakovskyDepartment of Energy Science and Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9019-8935

Javier E SantosLos Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos, NM 87545, USA.

Funding

Office of Advanced Scientific Computing Research DE-SC0023163United States Air Force Office of Scientific Research FA9550-24-1-0237

6 · The paper itself

Abstract

Camera-based wildlife monitoring is often overwhelmed by non-target triggers and slowed by manual review or cloud-dependent inference, which can prevent timely intervention for high stakes human-wildlife conflicts. Our key contribution is a deployable, fully offline edge

Indexed as

Animals, WildImage Processing, Computer-AssistedAlgorithmsAnimalsClassification AlgorithmsDetection AlgorithmsHumansartificial intelligencecomputer visioncurriculum learningedge computingimage classificationobject detectionreal-time environmental monitoring

Identifiers

PMID41755305

DOI10.3390/s26041366

PMCPMC12944408

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.