AI Reads Nematode Body Shapes to Identify Devastating Crop Parasites
A hybrid deep learning framework that fuses handcrafted morphological measurements with convolutional image features identified two destructive root-knot nematode species ...
A hybrid deep learning framework that fuses handcrafted morphological measurements with convolutional image features identified two destructive root-knot nematode species ...
Researchers at the University of Ottawa report that Pheidole ants can decouple antennae size from head and body size across ...
Researchers have described Aethesoma prosternistriatum, a new genus and species of clown beetle from three provinces in southern China that ...
Three museum specimens of Marukawa's sculpin collected off northeastern Taiwan extend the species' known range roughly 1,080 kilometers southward from ...
A new study in Solar Physics shows that deep convolutional neural networks can extract flare-relevant information directly from the spatial ...
A retrospective study in high-grade serous tubo-ovarian carcinoma found that HRDPath inferred homologous recombination deficiency from pathology slides with an ...
A morphological study described three new bamboo-associated Vekunta species from Guizhou, China, and reported V. fuscolineata from China for the ...
A specimen-based taxonomic review described two new Episyron species and three new Chinese records, raising the country’s known inventory to ...
A morphological study identified the first amber-preserved Selaginella fossil from the Western Hemisphere and the probable first Miocene macrofossil record ...
Morphological and molecular analyses identified two new capitellid species, Barantolla multibranchia and Parheteromastus simplex, from southern China.
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© 2025 Scienmag - Science Magazine