Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Sleep posture has a crucial impact on the incidence and severity of obstructive sleep apnea
(OSA). Therefore, the surveillance and recognition of sleep postures could facilitate the …

Abstract Machine learning has significantly impacted the analysis of biological images and
is now an important part of many biological data analysis pipelines. A variety of biological …

This paper presents a study on an automated system for image classification, which is based
on the fusion of various deep learning methods. The study explores how to create an …

Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

Planktonic organisms play a pivotal role within aquatic ecosystems, serving as the
foundation of the aquatic food chain while also playing a critical role in climate regulation …

Plankton is critical for the structure and function of marine ecosystems. In the past three
decades, various underwater imaging systems have been developed to collect in-situ …

The taxonomic composition and abundance of phytoplankton have a direct impact on
marine ecosystem dynamics and global environment change. Phytoplankton classification is …

The increasing deployment of deep learning models for distinguishing weeds and crops has
witnessed notable strides in agricultural scenarios. However, a conspicuous gap endures in …

Deep learning for broadleaf weed seedlings classification incorporating data variability and
model flexibility across two contra Page 1 Deep learning for broadleaf weed seedlings …