Machine learning and deep learning—A review for ecologists
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
Imaging flow cytometry
Imaging flow cytometry combines the high-event-rate nature of flow cytometry with the
advantages of single-cell image acquisition associated with microscopy. The measurement …
advantages of single-cell image acquisition associated with microscopy. The measurement …
[HTML][HTML] Towards a multisensor station for automated biodiversity monitoring
Rapid changes of the biosphere observed in recent years are caused by both small and
large scale drivers, like shifts in temperature, transformations in land-use, or changes in the …
large scale drivers, like shifts in temperature, transformations in land-use, or changes in the …
Machine learning enhances the performance of bioreceptor-free biosensors
Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
Tomographic imaging flow cytometry
Within the last decades, conventional flow cytometry (FC) has evolved as a powerful
measurement method in clinical diagnostics, biology, life sciences and healthcare. Imaging …
measurement method in clinical diagnostics, biology, life sciences and healthcare. Imaging …
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global
scales. Palynology is typically performed manually by microscopic analysis; a specialised …
scales. Palynology is typically performed manually by microscopic analysis; a specialised …
Approaches, challenges and recent advances in automated bee counting devices: A review
R Odemer - Annals of Applied Biology, 2022 - Wiley Online Library
For nearly 100 years, electronic bee counters have been developed using various
technologies to track the foraging activity of mostly honey bee colonies. These counters …
technologies to track the foraging activity of mostly honey bee colonies. These counters …
Assessing the accuracy of free automated plant identification applications
AG Hart, H Bosley, C Hooper, J Perry… - People and …, 2023 - Wiley Online Library
Widely available and inexpensive mobile phone applications offer users, whether
professional ecologists or interested amateurs, the potential for simple and rapid automated …
professional ecologists or interested amateurs, the potential for simple and rapid automated …
[HTML][HTML] Honey botanical origin and honey-specific protein pattern: Characterization of some European honeys
Honey adulteration generates low quality products on the market. The study aimed to find a
simple, specific and less time-consuming method than standard melissopalynology only, for …
simple, specific and less time-consuming method than standard melissopalynology only, for …
Skin lesion classification in dermoscopic images using stacked convolutional neural network
A Hameed, M Umer, U Hafeez, H Mustafa… - Journal of Ambient …, 2023 - Springer
Skin lesion detection and classification is always observed as a difficult problem to solve.
Manual detection of skin lesions via visual image inspection can be time-consuming and …
Manual detection of skin lesions via visual image inspection can be time-consuming and …