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 ...
Chinese researchers distilled three large neural networks into a lightweight model that identifies Ligustici Rhizoma et Radix decoction pieces and ...
A small validation study of undergraduate handwritten answers found 87.4% agreement with examiner marks for text and 85.1% for figures, ...
A knowledge-distilled MobileNetV2 model classified healthy, early and diseased wheat stripe mosaic virus stages in South African field images, reaching ...
Researchers have built a deep learning framework that detects Treacher Collins syndrome from facial images on an NVIDIA Jetson Orin ...
A new study combines a lightweight MobileNetV2 model with edge computing to detect network attacks with 94.6 percent accuracy in ...
A new cross-modality knowledge distillation framework uses CT-derived feature supervision to boost chest X-ray classification of lung diseases by up ...
Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice varieties with up to ...
Researchers have developed a lightweight deep learning framework that grades early sugarcane pokkah boeng disease severity on a smartphone with ...
A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...
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© 2025 Scienmag - Science Magazine