Search Results - "Burghardt T"

PriMAT: Robust multi-animal tracking of primates in the wild.

Authors: Vogg, Richard Nuske, Matthias Weis, Marissa A. et al.

Source: PLoS ONE. 4/30/2026, Vol. 21 Issue 4, p1-22. 22p.

Action Quality Assessment Based on Kinematic Reconstruction and Deviation Analysis.

Authors: Gong, Xiangjie Huo, Haibo Liu, Yuanyuan et al.

Source: Applied Sciences (2076-3417); Jul2026, Vol. 16 Issue 13, p6471, 23p

WildDrone: autonomous drone technology for monitoring wildlife populations.

Authors: Lundquist UPS Afridi S Berthelot C et al.

Source: Frontiers in robotics and AI [Front Robot AI] 2026 Jan 12; Vol. 12, pp. 1695319. Date of Electronic Publication: 2026 Jan 12 (Print Publication: 2025).

Publication Type: Journal Article

Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101749350 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-9144 (Electronic) Linking ISSN: 22969144 NLM ISO Abbreviation: Front Robot AI Subsets: PubMed not MEDLINE

AutoPollS: A tool for automated monitoring of pollinators using deep learning.

Authors: Smith, Matthew A.‐Y. Bernauer, Olivia M. Melone, Grace et al.

Source: Methods in Ecology & Evolution. Jun2026, Vol. 17 Issue 6, p1743-1753. 11p.

Acoustic indices are not useful for biodiversity research.

Authors: Sugai, Larissa S. M. Balantic, Cathleen Clink, Dena J. et al.

Source: Methods in Ecology & Evolution. May2026, Vol. 17 Issue 5, p1506-1518. 13p.

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video.

Authors: Kholiavchenko, Maksim Kline, Jenna Kukushkin, Maksim et al.

Source: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p24563-24582, 20p

BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos.

Authors: Duporge, Isla Kholiavchenko, Maksim Harel, Roi et al.

Source: International Journal of Computer Vision; Sep2025, Vol. 133 Issue 9, p6578-6589, 12p

Decoding nature’s melody: significance and challenges of machine learning in assessing bird diversity via soundscape analysis.

Authors: Xie, Jiangjian Xie, Shanshan Liu, Yang et al.

Source: Artificial Intelligence Review; Jan2026, Vol. 59 Issue 1, p1-35, 35p

Therapeutic Potential of Peptides in Cancer Treatment: Focus on Peptide and Aptamer-Decorated Exosomes.

Authors: Gangadaran, Prakash Kumar, Aswini Suresh Kumaran, Kasinathan et al.

Source: Cancers. Apr2026, Vol. 18 Issue 8, p1214. 21p.

Machine‐assisted image analysis facilitates conservation of iconic elasmobranchs.

Authors: Halpin, John E. Marlow, Joseph Benjamins, Steven et al.

Source: Ecological Solutions & Evidence. Apr-Jun2026, Vol. 7 Issue 2, p1-11. 11p.

Enhancing Wildlife Monitoring: An Advanced AI Approach for Accurate Giant Panda Behavior Detection and Conservation Insights.

Authors: Hou, Jin Liu, Chaoyu Liu, Dan et al.

Source: Animals (2076-2615). Mar2026, Vol. 16 Issue 6, p943. 24p.

Assessment of Human–Bear Conflict Through Time and Space: A Case Study from Ilgaz District, Türkiye.

Authors: Kara, Atilla Dinçer Gülçin, Derya Ulaş, Efehan et al.

Source: Conservation (2673-7159). Mar2026, Vol. 6 Issue 1, p13. 20p.

Towards 'digital ecology': Advances in integrating artificial intelligence from data generation to ecological insight.

Authors: Tuia, Devis Beery, Sara Costelloe, Blair R. et al.

Source: Methods in Ecology & Evolution. Feb2026, Vol. 17 Issue 2, p222-227. 6p.

Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics.

Authors: Kitzes, Justin Chronister, Lauren Czarnecki, Chapin et al.

Source: Methods in Ecology & Evolution. Feb2026, Vol. 17 Issue 2, p257-271. 15p.

New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models.

Authors: Miao, Zhongqi Zhang, Yuanhan Fabian, Zalan et al.

Source: Methods in Ecology & Evolution. Feb2026, Vol. 17 Issue 2, p238-256. 19p.

WildWing: An open‐source, autonomous and affordable UAS for animal behaviour video monitoring.

Authors: Kline, Jenna Zhong, Alison Irizarry, Kevyn et al.

Source: Methods in Ecology & Evolution. Feb2026, Vol. 17 Issue 2, p291-300. 10p.

Optimizing the Accuracy and Efficiency of Camera Trap Image Analysis: Evaluating AI Model Performance and a Semi-Automated Workflow.

Authors: Hitchcock, Kelly Tollington, Simon Yarnell, Richard W. et al.

Source: Remote Sensing. Feb2026, Vol. 18 Issue 3, p502. 20p.

Artificial Intelligence in Videofluoroscopy Swallow Study Analysis: A Comprehensive Review.

Authors: Sanjeevi G Gopalakrishnan U Pathinarupothi RK et al.

Source: Dysphagia [Dysphagia] 2025 Oct; Vol. 40 (5), pp. 1035-1048. Date of Electronic Publication: 2025 Feb 17.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer-Verlag Country of Publication: United States NLM ID: 8610856 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0460 (Electronic) Linking ISSN: 0179051X NLM ISO Abbreviation: Dysphagia Subsets: MEDLINE

Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection.

Authors: Zhang, Dingwen Cheng, Liangbo Liu, Yi et al.

Source: International Journal of Computer Vision; Oct2025, Vol. 133 Issue 10, p7201-7221, 21p

From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave.

Authors: Fuchs, Michael Genty, Emilie Bangerter, Adrian et al.

Source: International Journal of Computer Vision; Oct2025, Vol. 133 Issue 10, p6668-6688, 21p