AIMC Topic: Sharks

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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision.

Scientific reports Jun 4, 2025
Craniofacial morphometrics in sharks provide crucial insights into evolutionary history, geographical variation, sexual dimorphism, and developmental patterns. However, the fragile cartilaginous nature of shark craniofacial skeleton poses significant...
Artificial Intelligence Software Algorithms Tomography, X-Ray Computed Female Animals Male Imaging, Three-Dimensional Image Processing, Computer-Assisted Skull Sharks
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Intelligence model on sequence-based prediction of PPI using AISSO deep concept with hyperparameter tuning process.

Scientific reports Sep 18, 2024
Protein-protein interaction (PPI) prediction is vital for interpreting biological activities. Even though many diverse sorts of data and machine learning approaches have been employed in PPI prediction, performance still has to be enhanced. As a resu...
Humans Neural Networks, Computer Machine Learning Animals Computational Biology Protein Interaction Mapping Sharks
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Novel use of deep neural networks on photographic identification of epaulette sharks (Hemiscyllium ocellatum) across life stages.

Journal of fish biology Aug 10, 2024
Photographic identification (photo ID) is an established method that is used to count animals and track individuals' movements. This method performs well with some species of elasmobranchs (i.e., sharks, skates, and rays) where individuals have disti...
Neural Networks, Computer Artificial Intelligence Reproducibility of Results Animals Photography Sharks Animal Identification Systems
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Assessment of Machine Learning Models to Identify Port Jackson Shark Behaviours Using Tri-Axial Accelerometers.

Sensors (Basel, Switzerland) Dec 11, 2020
Movement ecology has traditionally focused on the movements of animals over large time scales, but, with advancements in sensor technology, the focus can become increasingly fine scale. Accelerometers are commonly applied to quantify animal behaviour...
Neural Networks, Computer Machine Learning Animals Support Vector Machine Behavior, Animal Accelerometry Sharks
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The use of machine learning to detect foraging behaviour in whale sharks: a new tool in conservation.

Journal of fish biology Oct 27, 2020
In this study we present the first attempt at modelling the feeding behaviour of whale sharks using a machine learning analytical method. A total of eight sharks were monitored with tri-axial accelerometers and their foraging behaviours were visually...
Machine Learning Animals Conservation of Natural Resources Feeding Behavior Sharks
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Artificial neural networks and geometric morphometric methods as a means for classification: A case-study using teeth from Carcharhinus sp. (Carcharhinidae).

Journal of morphology Nov 28, 2016
Over the past few decades, geometric morphometric methods have become increasingly popular and powerful tools to describe morphological data while over the same period artificial neural networks have had a similar rise in the classification of specim...
Neural Networks, Computer Animals Species Specificity Tooth Sharks
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