Results 31 to 40 of about 2,176,219 (302)
Multiple Automatic Sequential Analysis
Abstract A multiple automatic analyzer has been constructed which determines albumin, total protein, chloride, carbon dioxide, sodium, potassium, glucose, and urea nitrogen. The results for each of these 8 determinations are obtained in sequence for an individual sample and are recorded on a single sheet of paper.
L T, SKEGGS, H, HOCHSTRASSER
openaire +2 more sources
Automated Sleep Spindle Analysis in Epilepsy EEG Using Deep Learning
Sleep spindles, together with K-complexes, are the distinctive patterns of neuronal activity in EEG recordings during stage 2 sleep. When the mechanisms of sleep spindle generation are impaired, e.g., in epilepsy, their quantitative parameters change ...
Nikolay V. Gromov +8 more
doaj +1 more source
Improved iteratively reweighted least squares algorithms for sparse recovery problem
In this paper, some new algorithms based on the iteratively reweighted least squares (IRLS) method are proposed for sparse recovery problem. There are two important parameters in the IRLS method: a weighted parameter and a regularization parameter.
Yufeng Liu, Zhibin Zhu, Benxin Zhang
doaj +1 more source
The article describes the grammar of order of inflectional affixes of participle in the Kalmyk language. Under the model of inflectional affixes we understand an abstract scheme under which a real inflectional chain with respect to the laws of morpho ...
Victoriya Kukanova
doaj +1 more source
The comprehensive evaluation of strategies for decarbonizing large‐scale energy systems requires insights from many different perspectives. In energy systems analysis, optimization models are widely used for this purpose.
Karl‐Kiên Cao +9 more
doaj +1 more source
Automatic Dream Sentiment Analysis [PDF]
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph +4 more
core
Automatic Bayesian Density Analysis
Making sense of a dataset in an automatic and unsupervised fashion is a challenging problem in statistics and AI. Classical approaches for {exploratory data analysis} are usually not flexible enough to deal with the uncertainty inherent to real-world ...
Ghahramani, Zoubin +5 more
core +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Context-Aware Embeddings for Automatic Art Analysis
Automatic art analysis aims to classify and retrieve artistic representations from a collection of images by using computer vision and machine learning techniques.
Bar Yaniv +7 more
core +1 more source
A survey on mouth modeling and analysis for Sign Language recognition [PDF]
© 2015 IEEE.Around 70 million Deaf worldwide use Sign Languages (SLs) as their native languages. At the same time, they have limited reading/writing skills in the spoken language.
Antonakos, E, Roussos, A, Zafeiriou, S
core +2 more sources

