Results 31 to 40 of about 428,991 (272)

Statistical Proof Pattern Recognition: Automated or Interactive?

, 2013
In this paper, we compare different existing approaches employed in data mining of big proof libraries in automated and interactive theorem proving.
Heras, Jónathan, Komendantskaya, Ekaterina   +1 more
openaire   +2 more sources

Machine Analysis of Facial Expressions [PDF]

, 2007
No ...
Bartlett, M.S., Pantic, M.
core   +6 more sources

Recognizing Temporal Information in Korean Clinical Narratives through Text Normalization [PDF]

Healthcare Informatics Research, 2011
ObjectivesAcquiring temporal information is important because knowledge in clinical narratives is time-sensitive. In this paper, we describe an approach that can be used to extract the temporal information found in Korean clinical narrative texts ...
Youngho Kim, Jinwook Choi
doaj   +1 more source

Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

, 2017
Currently, diagnosis of skin diseases is based primarily on visual pattern recognition skills and expertise of the physician observing the lesion. Even though dermatologists are trained to recognize patterns of morphology, it is still a subjective visual
Adabi, Saba, Clayton, Anne, Conforto, Silvia, Daveluy, Steven, Hosseinzadeh, Matin, Mehregan, Darius, Nasiriavanaki, Mohammadreza, Noei, Shahryar   +7 more
core   +2 more sources

An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition [PDF]

, 2010
This paper suggests an automated approach for fault detection and classification in roller bearings, which is based on pattern recognition and principal components analysis of the measured vibration signals.
Trendafilova, I.
core   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

Application of Supervised Machine Learning to Recognize Competent Level and Mixed Antinuclear Antibody Patterns Based on ICAP International Consensus

Diagnostics, 2021
Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the ...
Yi-Da Wu, Ruey-Kai Sheu, Chih-Wei Chung, Yen-Ching Wu, Chiao-Chi Ou, Chien-Wen Hsiao, Huang-Chen Chang, Ying-Chieh Huang, Yi-Ming Chen, Win-Tsung Lo, Lun-Chi Chen, Chien-Chung Huang, Tsu-Yi Hsieh, Wen-Nan Huang, Tsai-Hung Yen, Yun-Wen Chen, Chia-Yu Chen, Yi-Hsing Chen   +17 more
doaj   +1 more source

Assessing rotation-invariant feature classification for automated wildebeest population counts [PDF]

, 2016
Accurate and on-demand animal population counts are the holy grail for wildlife conservation organizations throughout the world because they enable fast and responsive adaptive management policies.
Borner, Felix, Borner, Markus, Dobson, Andrew P., Fredrick, Howard, Hopcraft, J. Grant C., Lloyd-Jones, David J., Maliti, Honori T., Moyer, David, Mwita, Machoke, Torney, Colin J.   +9 more
core   +3 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

A Narrative Methodology to Recognize Iris Patterns By Extracting Features Using Gabor Filters and Wavelets

MATEC Web of Conferences, 2016
Iris pattern Recognition is an automated method of biometric identification that uses mathematical pattern-Recognition techniques on images of one or both of the irises of an individual’s eyes, whose complex random patterns are unique, stable, and can be
Shristi Jha, Sindhu B.M., Venkatesan S.
doaj   +1 more source