[HTML][HTML] Advances in chemical and biological methods to identify microorganisms—from past to present

R Franco-Duarte, L Černáková, S Kadam, K S. Kaushik… - Microorganisms, 2019 - mdpi.com
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 …

Machine learning and applications in microbiology

SJ Goodswen, JLN Barratt, PJ Kennedy… - FEMS microbiology …, 2021 - academic.oup.com
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 …

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 …

Deep learning approach to bacterial colony classification

B Zieliński, A Plichta, K Misztal, P Spurek… - PloS one, 2017 - journals.plos.org
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 …

Automated bacterial classifications using machine learning based computational techniques: architectures, challenges and open research issues

S Kotwal, P Rani, T Arif, J Manhas… - Archives of computational …, 2022 - Springer
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 …

Fruit and vegetable quality assessment via dielectric sensing

D El Khaled, N Novas, JA Gazquez, RM Garcia… - Sensors, 2015 - mdpi.com
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 …

Prediction of microbial spoilage and shelf-life of bakery products through hyperspectral imaging

Z Saleem, MH Khan, M Ahmad, A Sohaib, H Ayaz… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

Bacterial Communications and Computing in Internet of Everything (IoE)

BY Koca, OB Akan - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Advancements in molecular communication (MC) have underscored the importance of
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 …

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 …