The main objective of this work is to use convolutional neural networks (CNN) to improve the
performance in previous works on their baseline for pollen grain classification, by improving …

Increased pollution from oil emulsions may cause serious ecological damage. The
development of a fast and effective emulsified oil species identification method plays a …

Allergenic airborne pollen can induce hay fever such as rhinitis and asthma. Many studies
have been conducted on the allergenic pollution caused by airborne pollen. We synthesized …

The purpose of this work is to classify pepper seeds using color filter array (CFA) images.
This study focused specifically on Penja pepper, which is found in the Litoral region of …

The inconceivable volume of online images produced by websites and personal collections
has made it difficult to retrieve images from vast databases accurately. Practically …

The production of low-cost, small footprint imaging sensor would be invaluable for airborne
global monitoring of pollen, which could allow for mitigation of hay fever symptoms. We …

Aerobiology is a branch of biology that studies microorganisms passively transferred by the
air. Bacteria, viruses, fungal spores, tiny insects, and pollen grains are samples of …

Traditional structural dynamic detection methods are difficult to accurately identify damage
features in vibration signals from tensile membrane structures, thus a damage classification …

The texture is identifiable in optical and easy ways. Texture classification is an imperative
region in texture analysis, where it gives descriptors for classifying the images. The …

Human-induced climate change will result in an increased amount of allergenic airborne
pollen. The allergenic properties of different plant species vary. Therefore, a correlation …