Resource-efficient data transmission for WiFi-capable bio-loggers based on machine learning.

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Bibliographic Details
Title: Resource-efficient data transmission for WiFi-capable bio-loggers based on machine learning.
Authors: Kerle-Malcharek W; Department of Computer and Information Science, University of Konstanz, Konstanz, Germany., Klein K; Department of Computer and Information Science, University of Konstanz, Konstanz, Germany., Wikelski M; Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.; Department of Biology, University of Konstanz, Konstanz, Germany., Schreiber F; Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.; Faculty of Information Technology, Monash University, Clayton, Australia., Wild TA; Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.
Source: PloS one [PLoS One] 2026 Jul 24; Vol. 21 (7), pp. e0354146. Date of Electronic Publication: 2026 Jul 24 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0354146