Blar i AURA på forfatter "Rasmussen, Jeppe Have"
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Applying artificial intelligence methods to detect and classify fish calls from the northern gulf of Mexico
Waddell, Emily E.; Rasmussen, Jeppe Have; Sirovic, Ana (Peer reviewed; Journal article, 2021) -
Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production
Briefer, Elodie F.; Sypherd, Ciara C. -R.; Linhart, Pavel; Leliveld, Lisette M. C.; Padilla de la Torre, Monica; Read, Eva R.; Guérin, Carole; Deiss, Véronique; Monestier, Chloé; Rasmussen, Jeppe Have; Špinka, Marek; Düpjan, Sandra; Boissy, Alain; Janczak, Andrew M.; Hillmann, Edna; Tallet, Céline (Peer reviewed; Journal article, 2022)Vocal expression of emotions has been observed across species and could provide a non-invasive and reliable means to assess animal emotions. We investigated if pig vocal indicators of emotions revealed in previous studies ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
Hobrak, Lucas; Moen, Rebecca Atik; Bremnes, Kenneth Sotnedal (Master thesis, 2022)The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered ma- rine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
Hobrak, Lucas; Moen, Rebecca Atik; Bremnes, Kenneth Sotnedal (Master thesis, 2022)he Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
Hobrak, Lucas; Moen, Rebecca Atik; Bremnes, Kenneth Sotnedal (Master thesis, 2022)The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
FishSizer: Software solution for efficiently measuring larval fish size
Rasmussen, Jeppe Have; Moyano, Marta; Fuiman, Lee A.; Oomen, Rebekah Alice (Peer reviewed; Journal article, 2022)Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the ... -
FishSizer: Software solution for efficiently measuring larval fish size
Rasmussen, Jeppe Have; Moyano, Marta; Fuiman, Lee A.; Oomen, Rebekah Alice (Peer reviewed; Journal article, 2022)Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the ... -
The acoustic repertoire of Atlantic cod (Gadus morhua) and the effect of feeding on broadband clicks and their sound characteristics
Lie, Annika (Master thesis, 2023)Populations of Atlantic cod (Gadus morhua) along the Skagerrak coast remain below viable levels today despite various implemented management strategies aimed at their recovery. Augmented management approaches are needed ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...