Results 251 to 260 of about 19,759 (293)

Bioacoustics Signal Authentication for E-Medical Records Using Blockchain

2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
Many are wary of storing and processing data in the cloud because of the prevalence of hostile assaults on mobile and wireless communication networks, which raises serious privacy and security concerns.
S. Sowjanya, Thota Sai, Lalith Prasad, Induru Sunnihith Reddy, Pundru Chandra, Shaker Reddy, Cheruku Muralikrishna, Vikas Sharma   +7 more
semanticscholar   +1 more source

History of animal bioacoustics

The Journal of the Acoustical Society of America, 2002
The earliest studies on animal bioacoustics dealt largely with descriptions of sounds. Only later did they address issues of detection, discrimination, and categorization of complex communication sounds. This literature grew substantially over the last century.
Arthur N. Popper, Robert J. Dooling
openaire   +2 more sources

Towards Deep Active Learning in Avian Bioacoustics

IAL@PKDD/ECML
Passive acoustic monitoring (PAM) in avian bioacoustics enables cost-effective and extensive data collection with minimal disruption to natural habitats. Despite advancements in computational avian bioacoustics, deep learning models continue to encounter
Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz   +5 more
semanticscholar   +1 more source

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

arXiv.org
Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.
Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal‐Adams, Mathieu Duteil, Gabriella E Gall, Marius Faiß, L. Johnson-Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, A. Strandburg-Peshkin   +11 more
semanticscholar   +1 more source

Bioacoustic contributions to the soundscape

The Journal of the Acoustical Society of America, 2013
The soundscape, the combination of all sounds found in the environment, has been divided into three components: geophony—sounds that are generated by non-biological sources such as wind and waves; biophony—sound generated by animals, excepting humans; and anthrophony—sound generated by human activities. The soundscape can be further divided by spatial,
John G. Hildebrand, Simone Baumann-Pickering   +1 more
openaire   +2 more sources

Manatees, Bioacoustics and Boats

American Scientist, 2002
It's 2 o'clock in the morning, and, wouldn't you know it, Stormy is "in love" with that big Navy transducer again. Now I have to get in the cold water and pry him off so we can set up for Dundee's session. Oh, the joys of working with manatees under the Tampa moonlight!
openaire   +2 more sources

FISH BIOACOUSTICS: INTRODUCTION

Bioacoustics, 2002
This article provides an overview to articles on fish bioacoustics – the study of hearing, sound production, communication, and the lateral line of fishes. Since bioacoustics includes the ear, this section also includes articles on the anatomy of the ear as well as the other important role of the ear beyond hearing, the vestibular sense.
Jacqueline F. Webb, Arthur N. Popper, Richard R. Fay   +2 more
openaire   +2 more sources

Few-Shot Bioacoustics Event Detection Using Transductive Inference With Data Augmentation

IEEE Sensors Letters
Few-shot (FS) sound event detection (SED) is the process of identifying and recognizing specific sounds or events within an audio recording, specifically in the field of bioacoustics.
Farhad Banoori, Nouman Ijaz, Jinglun Shi, Khalid Khan, Xiongying Liu, Sadique Ahmad, A. J. Prakash, Paweł Pławiak, Mohamed Hammad   +8 more
semanticscholar   +1 more source

The future of fish bioacoustics.

The Journal of the Acoustical Society of America, 2009
In 1993 (Brain, Behav. Evol. 41, 14–38 (1993)] we evaluated changes in our knowledge of fish bioacoustics since our 1973 review and proposed ten issues that still needed to be answered. This presentation asks whether we have have made progress on these issues since 1993 and poses questions for future fish bioacoustics research.
Arthur N. Popper, Richard R. Fay
openaire   +2 more sources

BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics

arXiv.org
Deep learning (DL) models have emerged as a powerful tool in avian bioacoustics to diagnose environmental health and biodiversity. However, inconsistencies in research pose notable challenges hindering progress in this domain.
Lukas Rauch, Raphael Schwinger, Moritz Wirth, Ren'e Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz   +8 more
semanticscholar   +1 more source