Results 81 to 90 of about 957,081 (355)
Label-free classification of cells based on supervised machine learning of subcellular structures.
PLoS ONE, 2019 It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human white blood cells and five types of cancer cell lines were
Yusuke Ozaki +15 more
doaj +1 more source
Visual Recognition Software for Binary Classification and Its Application to Spruce Pollen Identification. [PDF]
PLoS ONE, 2016 Discriminating between black and white spruce (Picea mariana and Picea glauca) is a difficult palynological classification problem that, if solved, would provide valuable data for paleoclimate reconstructions.
David K Tcheng +3 more
doaj +1 more source
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition [PDF]
arXiv, 2023 Learning-based algorithms for automated license plate recognition implicitly assume that the training and test data are well aligned. However, this may not be the case under extreme environmental conditions, or in forensic applications where the system cannot be trained for a specific acquisition device.
arxiv
Automated Latent Fingerprint Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Latent fingerprints are one of the most important and widely used evidence in law enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the performance of state-of-the-art latent recognition systems is far from satisfactory.
Kai Cao, Anil K. Jain
semanticscholar +1 more source
The Virtual Space Simulation of the Regional Governance System
International Journal of Economics and Financial Issues, 2016 The article substantiates the study methodology of social experiment in the virtual space within the system of regional governance. It enables to identify the main alternatives in the formulation and decision-making processes of enhancing the ...
Oleg M. Barbakov +4 more
doaj +4 more sources
Molecular Oncology, EarlyView.Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu +11 more
wiley +1 more source
Sensors, 2010 We overview an approach to providing automated three-dimensional (3D) sensing and recognition of biological micro/nanoorganisms integrating Gabor digital holographic microscopy and statistical sampling methods.
Inkyu Moon, Faliu Yi, Bahram Javidi
doaj +1 more source
Применение аппарата теории распознавания образов для эффективного решения задач анализа данных по результатам термографического мониторинга [PDF]
, 2007 In order to increase the efficiency of thermographic monitoring it is proposed to make use of an automated analysis of thermograms on the grounds of pattern recognition theory.
Мешков, С. Н. +3 more
core
Unsupervised decoding of long-term, naturalistic human neural recordings with automated video and audio annotations [PDF]
, 2015 Fully automated decoding of human activities and intentions from direct neural recordings is a tantalizing challenge in brain-computer interfacing.
Brunton, Bingni W. +4 more
core +3 more sources
Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source