Deep learning as a tool for ecology and evolution
Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …
speech and image recognition, natural language processing and autonomous driving. It is …
Identification of fish species and targeted genetic modifications based on DNA analysis: State of the art
Food adulteration is one of the most serious problems regarding food safety and quality
worldwide. Besides misleading consumers, it poses a considerable health risk associated …
worldwide. Besides misleading consumers, it poses a considerable health risk associated …
Revisiting molecular techniques for the authentication of mackerels in commercial products. Approaches to prevent seafood fraud
Background Seafood fraud involves mislabeling and false claims. To avoid this deceptive
practice, authentication techniques, including DNA-based methods, have been developed …
practice, authentication techniques, including DNA-based methods, have been developed …
[HTML][HTML] An advanced Bangladeshi local fish classification system based on the combination of deep learning and the internet of things (IoT)
Fish classification leads to the automated machine-based fish separation system. In terms of
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …
Novel modified convolutional neural network and FFA algorithm for fish species classification
P Prasenan, CD Suriyakala - Journal of Combinatorial Optimization, 2023 - Springer
Biologists and marine ecologists' vital task is to classify fish species regularly to assess the
relative profusion of fish species in their native environments and track population …
relative profusion of fish species in their native environments and track population …
Evaluating the method reproducibility of deep learning models in the biodiversity domain
W Ahmed, VK Kommineni, B König-Ries… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial Intelligence (AI) is revolutionizing biodiversity research by enabling advanced data
analysis, species identification, and habitats monitoring, thereby enhancing conservation …
analysis, species identification, and habitats monitoring, thereby enhancing conservation …
Atrous Pyramid GAN Segmentation Network for Fish Images with High Performance
X Zhou, S Chen, Y Ren, Y Zhang, J Fu, D Fan, J Lin… - Electronics, 2022 - mdpi.com
With the development of computer science technology, theory and method of image
segmentation are widely used in fish discrimination, which plays an important role in …
segmentation are widely used in fish discrimination, which plays an important role in …
[PDF][PDF] Comparison of Machine Learning Algorithms for Species Family Classification using DNA Barcode.
The development of living specimen processing technology [1] in recent decades has
created many biological data, including Deoxyribonucleic Acid (DNA) sequence data. The …
created many biological data, including Deoxyribonucleic Acid (DNA) sequence data. The …
AI-Powered Biodiversity Assessment: Species Classification via DNA Barcoding and Deep Learning
Only 1.2 million out of an estimated 8.7 million species on Earth have been fully classified
through taxonomy. As biodiversity loss accelerates, ecologists are urgently revising …
through taxonomy. As biodiversity loss accelerates, ecologists are urgently revising …
Automated DNA Barcoding: A Computational Approach to Fish Species Identification
FQ López - FishTaxa-Journal of Fish Taxonomy, 2024 - fishtaxa.com
Molecular technologies like DNA metabarcoding, which offer a useful identifying tool for
biomonitoring and conservation initiatives, are advantageous to biodiversity research …
biomonitoring and conservation initiatives, are advantageous to biodiversity research …