Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional …
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 …
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 …
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 …
Morphologic design of nanostructures for enhanced antimicrobial activity
Despite significant progress in synthetic polymer chemistry and in control over tuning the
structures and morphologies of nanoparticles, studies on morphologic design of …
structures and morphologies of nanoparticles, studies on morphologic design of …
Advances towards automatic detection and classification of parasites microscopic images using deep convolutional neural network: methods, models and research …
In the developing world, parasites are responsible for causing several serious health
problems, with relatively high infections in human beings. The traditional manual light …
problems, with relatively high infections in human beings. The traditional manual light …
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 …
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 …
domains, like agriculture, industry and medicine. To explore functions of different categories …
A self adaptive harmony search based functional link higher order ANN for non-linear data classification
In the data classification process involving higher order ANNs, it'sa herculean task to
determine the optimal ANN classification model due to non-linear nature of real world …
determine the optimal ANN classification model due to non-linear nature of real world …
Identification of the selected soil bacteria genera based on their geometric and dispersion features
The visual analysis of microscopic images is often used for soil bacteria recognition in
microbiology. Such task can be automated with the aid of machine learning and digital …
microbiology. Such task can be automated with the aid of machine learning and digital …
Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites
The detection of bacterial and viral microbes is pivotal for both human and animal well-being
in the public health services and for veterinary care. Even in a laboratory, the isolation of …
in the public health services and for veterinary care. Even in a laboratory, the isolation of …
Chemical sensing of common microorganisms found in biopharmaceutical industries using MIR laser spectroscopy and multivariate analysis
W Carrión‐Roca, AM Colón‐Mercado… - Journal of …, 2024 - Wiley Online Library
Mid‐infrared laser spectroscopy was used to investigate common bacteria encountered in
biopharmaceutical industries. The study involved the detection of bacteria using quantum …
biopharmaceutical industries. The study involved the detection of bacteria using quantum …