[HTML][HTML] Polarimetric imaging via deep learning: A review
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
Software sensors in the monitoring of microalgae cultivations
L Porras Reyes, I Havlik, S Beutel - Reviews in Environmental Science …, 2024 - Springer
Microalgae are well-known photosynthetic microorganisms used as cell factories for the
production of relevant biotechnological compounds. Despite the outstanding characteristics …
production of relevant biotechnological compounds. Despite the outstanding characteristics …
ResNeXt convolution neural network topology-based deep learning model for identification and classification of Pediastrum
For identification of different Pediastrum species in a sample, the determination of
microscopic feature and colony morphology are the preliminary steps before sending them …
microscopic feature and colony morphology are the preliminary steps before sending them …
Computer vision based deep learning approach for the detection and classification of algae species using microscopic images
The natural phenomenon of harmful algae bloom (HAB) has a bad impact on the quality of
pure and freshwater. It increases the risk to human health, water bodies and overall aquatic …
pure and freshwater. It increases the risk to human health, water bodies and overall aquatic …
Deep learning-based ResNeXt model in phycological studies for future
Algae are photosynthetic eukaryotes that may range from unicellular to multicellular forms.
Algae have been reported from almost all the ecological systems, including terrestrial …
Algae have been reported from almost all the ecological systems, including terrestrial …
Identification and enumeration of cyanobacteria species using a deep neural network
Cell classification and cell counting are essential for the detection, monitoring, forecasting,
and management of harmful algae populations. Conventional methods of algae …
and management of harmful algae populations. Conventional methods of algae …
A three-stage network DEA approach for performance evaluation of BIM application in construction projects
L Luo, H Chen, Y Yang, G Wu, L Chen - Technology in Society, 2022 - Elsevier
BIM application in the construction industry is still low in China, mainly due to the lack of
effective measures for BIM application evaluation. Therefore, this study takes BIM …
effective measures for BIM application evaluation. Therefore, this study takes BIM …
Auto-detection of cervical collagen and elastin in Mueller matrix polarimetry microscopic images using K-NN and semantic segmentation classification
We propose an approach for discriminating fibrillar collagen fibers from elastic fibers in the
mouse cervix in Mueller matrix microscopy using convolutional neural networks (CNN) and …
mouse cervix in Mueller matrix microscopy using convolutional neural networks (CNN) and …
Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton
Background Phytoplankton species identification and counting is a crucial step of water
quality assessment. Especially drinking water reservoirs, bathing and ballast water need to …
quality assessment. Especially drinking water reservoirs, bathing and ballast water need to …
Accurate classification of algae using deep convolutional neural network with a small database
The variations in algal diversity and populations are essential for evaluating aquatic system
health. However, manual classification is time-consuming and labor-intensive. As AI has …
health. However, manual classification is time-consuming and labor-intensive. As AI has …