Results 211 to 220 of about 8,891 (303)

Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity

Methods in Ecology and Evolution, EarlyView.
Abstract The biodiversity crisis necessitates spatially extensive methods to monitor multiple taxonomic groups for evidence of change in response to evolving environmental conditions. Programs that combine passive acoustic monitoring and machine learning are increasingly used to meet this need. These methods require large, annotated datasets, which are
Matthew J. Weldy, Damon B. Lesmeister, Tom Denton, Adam Duarte, Ben J. Vernasco, Amandine Gasc, Jennifer C. Rowe, Michael J. Adams, Matthew G. Betts   +8 more
wiley   +1 more source

Experiences, challenges, and best practices of dispatcher-assisted cardiopulmonary resuscitation: a scoping review. [PDF]

Intern Emerg Med
Imbriaco G, Galazzi A, Semeraro F, Ramacciati N.   +3 more
europepmc   +1 more source

ALISP-Based Data Compression for Generic Audio Indexing

, 2014
Houssemeddine Khemiri, Dijana Petrovska‐Delacrétaz, Gérard Chollet   +2 more
openalex   +2 more sources

Towards scalable insect monitoring: Ultra‐lightweight CNNs as on‐device triggers for insect camera traps

Methods in Ecology and Evolution, EarlyView.
Abstract Camera traps, combined with AI, have emerged to achieve automated, scalable biodiversity monitoring. However, passive infrared (PIR) sensors that typically trigger camera traps are poorly suited for detecting small, fast‐moving ectotherms such as insects. Insects comprise over half of all animal species and are key components of ecosystems and
Ross J. Gardiner, Sareh Rowlands, Benno I. Simmons   +2 more
wiley   +1 more source

TS-Resformer: a model based on multimodal fusion for the classification of music signals. [PDF]

Front Neurorobot
Zhang Y.
europepmc   +1 more source

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Jessica Oreskovic, Jaycee Kaufman, Yan Fossat   +2 more
openalex   +1 more source

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

Methods in Ecology and Evolution, EarlyView.
Abstract The integration of artificial intelligence (AI) into biodiversity research and conservation is growing rapidly, demonstrating great potential in reducing the intensive human labour required for data preprocessing, thereby, facilitating larger data collections that offer ecological insights at unprecedented scales.
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Pablo Arbelaez, Pengce Wang, Rahul Dodhia, Juan Lavista Ferres   +16 more
wiley   +1 more source

Acoustic Analyses of the Digital Doppler Allen Test. [PDF]

Plast Reconstr Surg Glob Open
Kobayashi K, Sugawara R, Nishimura K, Masuyama N.   +3 more
europepmc   +1 more source

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

Methods in Ecology and Evolution, EarlyView.
Abstract Data collected by autonomous sensors, including camera traps and acoustic recorders, have enormous potential to generate new scientific insights in ecology and related fields. Modern machine learning and AI classification methods are critical to analysing these often immense data streams.
Justin Kitzes, Lauren Chronister, Chapin Czarnecki, Cameron Fiss, Louis Freeland‐Haynes, Brooke D. Goodman, Sam Lapp, R. Patrick Lyon, Hannah Nossan, Tessa A. Rhinehart, Santiago Ruiz Guzman, Alexandra Syunkova, Leonardo Viotti   +12 more
wiley   +1 more source

State-of-the-Art Trends in Data Compression: COMPROMISE Case Study. [PDF]

Entropy (Basel)
Podgorelec D, Strnad D, Kolingerová I, Žalik B.   +3 more
europepmc   +1 more source