Processes of extinction, especially selectivity, can be studied using the distribution of
species in morphospace. Random extinction reduces the number of species but has little …

The forensic analysis of pollen involves the comparison of crime scene and reference pollen
samples. Successful matches are frequently used to solve time-or location-related crimes …

Automatic pollen images recognition is crucial for pollinosis symptoms prevention and
treatment. The problem of pollen recognition can be efficiently solved using deep learning …

In biological image recognition, different species might look similar resulting in a small
margin, which causes errors in labeling images. Pollen grain image classification heavily …

Pollen recognition has a wide range of industrial and scientific applications. It guides the
energy industry to potential oil and gas deposits, it is proxy data for climate-change …

Multidirectional imaging flow cytometry (mIFC) extends conventional imaging flow cytometry
(IFC) for the image-based measurement of 3D-geometrical features of particles. The …

Pollen grains play a critical role in environmental, agricultural, and allergy research despite
their tiny dimensions. The accurate classification of pollen grains remains a significant …

Fossil plant remains are commonly found in fragments in the sediment, thus complicating the
reconstruction and classification of fossil plants into a higher taxonomic group. Particularly …

The purpose of this work is to comparatively assess pollen viability of five plant species
growing in different areas of the city of Aktobe, Kazakhstan (N 5018¢, W 5710¢). Pollen …

In this paper we propose a way of managing allergy and asthma based on pollen
recognition using images from an optical microscope. GIST descriptors are extracted as …