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[HTML][HTML] Advances in chemical and biological methods to identify microorganisms—from past to present
Fast detection and identification of microorganisms is a challenging and significant feature
from industry to medicine. Standard approaches are known to be very time-consuming and …
from industry to medicine. Standard approaches are known to be very time-consuming and …
Machine learning and applications in microbiology
To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …
sense of copious volumes of data such that it may now be humanly impossible to detect …
Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …
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 …
important to human life. They are also integral to processes in the ecosystem. The process of …
Deep learning approach to bacterial colony classification
In microbiology it is diagnostically useful to recognize various genera and species of
bacteria. It can be achieved using computer-aided methods, which make the recognition …
bacteria. It can be achieved using computer-aided methods, which make the recognition …
Automated bacterial classifications using machine learning based computational techniques: architectures, challenges and open research issues
Bacteria are important in a variety of practical domains, including industry, agriculture,
medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of …
medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of …
Fruit and vegetable quality assessment via dielectric sensing
The demand for improved food quality has been accompanied by a technological boost.
This fact enhances the possibility of improving the quality of horticultural products, leading …
This fact enhances the possibility of improving the quality of horticultural products, leading …
Prediction of microbial spoilage and shelf-life of bakery products through hyperspectral imaging
The shelf life of bakery products highly depends on the environment and it may get spoiled
earlier than its expiry which results in food-borne diseases and may affect human health or …
earlier than its expiry which results in food-borne diseases and may affect human health or …
Bacterial Communications and Computing in Internet of Everything (IoE)
Advancements in molecular communication (MC) have underscored the importance of
bacterial communication, given their frequent use in MC models. Understanding bacterial …
bacterial communication, given their frequent use in MC models. Understanding bacterial …
An automated deep learning approach for bacterial image classification
M Talo - arxiv preprint arxiv:1912.08765, 2019 - arxiv.org
Automated recognition and classification of bacteria species from microscopic images have
significant importance in clinical microbiology. Bacteria classification is usually carried out …
significant importance in clinical microbiology. Bacteria classification is usually carried out …
Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology
VM Tsitou, D Rallis, M Tsekova… - Biotechnology & …, 2024 - Taylor & Francis
In this mini-review, we delve into the transformative impact of artificial intelligence (AI) and
machine learning (ML) in the field of microbiology. The paper provides a brief overview of …
machine learning (ML) in the field of microbiology. The paper provides a brief overview of …