… supervised classification for weed detection was performed using … forest (RF) and artificial
neural network (ANN) .[Result]SVM … Classification method of main crops in northern Xinjiang …

… using drone-borne hyperspectral imagery of emergent plants: A … classification algorithms
based on convolutional neural … Fundamentals of recurrent neural network (RNN) and long short…

… NIHSS scale classification and ADL scale grading evaluation, … control group in improving
the NIHSS classification (P<0.01). … group in improving NIHSS and ADL classification (P<0.05). …

… indicators of data mining technology in network traffic classification and prediction,com⁃
pares its … neural network [J]. Journal of Plant Nutrition and Fertilizer,2019,25 (11):1977-1988. …

… other marine invertebrates posed a series of classification problems in relation to anatomy,
… that which is living in it – like a pressed plant, one must collapse its multiple textures into one …

… Retinoid deficiency or mutation in RARβ and RXRγ genes is … Many photosynthetic plants,
bacteria, and some fungi have … are also broken down into two classes (CRABP type I and type II…

… promotes neuroregeneration and neural repair by affecting signaling in the nervous
system; namely, by exciting, inhibiting, or regulating neuronal and neural network activities to …

… for cellular-structural maintenance and nutrition supply to keep photoreceptors … through
enhancing its antioxidant capacity are also discussed, focusing on existing antioxidant nutritional …

… chronic wound the normal process of healing is disrupted. Systemic conditions such as vascular
insufficiency, nutritional deficiencies, … -wall deficient mutants were isolated and classified …

… Frequent changing of crops is characteristic of Dongshi’s fruit economy. Peasants overcome
technical problems encountered when cultivating new crops by exchanging experiences …