Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional …

J Zhang, C Li, Y Yin, J Zhang, M Grzegorzek - Artificial Intelligence Review, 2023 - Springer
Microorganisms are widely distributed in the human daily living environment. They play an
essential role in environmental pollution control, disease prevention and treatment, and food …

Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …

P Rani, S Kotwal, J Manhas, V Sharma… - … Methods in Engineering, 2022 - Springer
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …

Trends in digital image processing of isolated microalgae by incorporating classification algorithm

JWR Chong, KS Khoo, KW Chew, HY Ting… - Biotechnology …, 2023 - Elsevier
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

[КНИГА][B] Algae: anatomy, biochemistry, and biotechnology

L Barsanti, P Gualtieri - 2022 - taylorfrancis.com
A single-source reference on the biology of algae, the third edition of Algae: Anatomy,
Biochemistry, and Biotechnology examines the most important taxa and structures for …

Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects

N Pouyanfar, SZ Harofte, M Soltani, S Siavashy… - Trends in Environmental …, 2022 - Elsevier
Environmental pollution and its drastic effects on human and animal health have urged
governments to implement strict policies to minimize damage. The first step in applying such …

Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives

T Eerola, D Batrakhanov, NV Barazandeh… - Artificial Intelligence …, 2024 - Springer
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

Water monitoring by means of digital microscopy identification and classification of microalgae

L Barsanti, L Birindelli, P Gualtieri - Environmental Science: Processes …, 2021 - pubs.rsc.org
Marine and freshwater microalgae belong to taxonomically and morphologically diverse
groups of organisms spanning many phyla with thousands of species. These organisms play …

Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines

ME Sonmez, NE Gumus, N Eczacioglu, EE Develi… - Marine Pollution …, 2024 - Elsevier
Accurately classifying microalgae species is vital for monitoring marine ecosystems and
managing the emergence of marine mucilage, which is crucial for monitoring mucilage …

Automated plant identification using artificial neural network and support vector machine

SJ Kho, S Manickam, S Malek, M Mosleh… - Frontiers in Life …, 2017 - Taylor & Francis
Ficus is one of the largest genera in plant kingdom reaching to about 1000 species
worldwide. While taxonomic keys are available for identifying most species of Ficus, it is very …

A survey for the applications of content-based microscopic image analysis in microorganism classification domains

C Li, K Wang, N Xu - Artificial Intelligence Review, 2019 - Springer
Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …