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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 …
A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications
In today's biomedical research, the pursuit of diagnostic tools boasting maximum precision
and accuracy while minimizing sample volume and pre-treatment requirements, has …
and accuracy while minimizing sample volume and pre-treatment requirements, has …
Controlled-channel attacks: Deterministic side channels for untrusted operating systems
Y Xu, W Cui, M Peinado - 2015 IEEE Symposium on Security …, 2015 - ieeexplore.ieee.org
The presence of large numbers of security vulnerabilities in popular feature-rich commodity
operating systems has inspired a long line of work on excluding these operating systems …
operating systems has inspired a long line of work on excluding these operating systems …
Microsystem advances through integration with artificial intelligence
Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …
Biosensors and machine learning for enhanced detection, stratification, and classification of cells: A review
Biological cells, by definition, are the basic units which contain the fundamental molecules of
life of which all living things are composed. Understanding how they function and …
life of which all living things are composed. Understanding how they function and …
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
Abstract The labeling of Environmental Microorganisms (EM) which help decomposing
pollutants, plays a fundamental role for establishing sustainable ecosystem. We propose an …
pollutants, plays a fundamental role for establishing sustainable ecosystem. We propose an …
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 …
Tunable nanoporous silicon oxide templates by swift heavy ion tracks technology
Nanoporous silicon oxide templates formed by swift heavy ion tracks technology have been
investigated. The influence of the heavy ion characteristics, such as type of ion, energy …
investigated. The influence of the heavy ion characteristics, such as type of ion, energy …
[HTML][HTML] Fabrication and evaluation of gellan gum/hyaluronic acid hydrogel for retinal tissue engineering biomaterial and the influence of substrate stress relaxation on …
J Youn, JH Choi, S Lee, W Lee, SW Lee, W Kim… - Molecules, 2022 - mdpi.com
Cell therapies for age-related macular degeneration (AMD) treatment have been developed
by integrating hydrogel-based biomaterials. Until now, cell activity has been observed only …
by integrating hydrogel-based biomaterials. Until now, cell activity has been observed only …
Convergence of machine learning with microfluidics and metamaterials to build smart materials
Recent advances in machine learning have revolutionized numerous research domains by
extracting the hidden features and properties of complex systems, which are not otherwise …
extracting the hidden features and properties of complex systems, which are not otherwise …