Results 71 to 80 of about 1,934,537 (295)

Web based knowledge extraction and consolidation for automatic ontology instantiation [PDF]

, 2003
The Web is probably the largest and richest information repository available today. Search engines are the common access routes to this valuable source.
Alani, Harith, Hall, Wendy, Kim, Sanghee, Lewis, Paul H., Millard, David E., Shadbolt, Nigel, Weal, Mark J.   +6 more
core   +2 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Learning to Navigate in Mixed Human–Robot Crowds via an Attention-Driven Deep Reinforcement Learning Framework

Machine Learning and Knowledge Extraction
The rapid growth of technology has introduced robots into daily life, necessitating navigation frameworks that enable safe, human-friendly movement while accounting for social aspects.
Ibrahim K. Kabir, Muhammad F. Mysorewala, Yahya I. Osais, Ali Nasir   +3 more
doaj   +1 more source

Preliminary Study on the Knowledge Graph Construction of Chinese Ancient History and Culture

Information, 2020
The domestic population has paid increasing attention to ancient Chinese history and culture with the continuous improvement of people’s living standards, the rapid economic growth, and the rapid advancement of information science and technology. The use
Shuang Liu, Hui Yang, Jiayi Li, Simon Kolmanič   +3 more
doaj   +1 more source

Process identification through modular neural networks and rule extraction [PDF]

, 2002
Monolithic neural networks may be trained from measured data to establish knowledge about the process. Unfortunately, this knowledge is not guaranteed to be found and - if at all - hard to extract.
Slump, C.H., Spaanenburg, L., Zwaag, B.J. van der   +2 more
core   +2 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization

Machine Learning and Knowledge Extraction
Vision-based navigation is a common solution for the critical challenge of GPS-denied Unmanned Aerial Vehicle (UAV) operation, but a research gap remains in the autonomous discovery of robust landmarks from aerial survey imagery needed for such systems ...
Zakhar Ostrovskyi, Oleksander Barmak, Pavlo Radiuk, Iurii Krak   +3 more
doaj   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Analysis of integrated real-time decision support systems based on neural networks and low-structured data

Ìнформаційні технології та компʼютерна інженерія
The study aimed to analyse and substantiate effective methods for analysing inefficiently structured data using neural networks to provide operational decision support in complex environments.
M. Demchyna
doaj   +1 more source

Categorization of interestingness measures for knowledge extraction

, 2012
Finding interesting association rules is an important and active research field in data mining. The algorithms of the Apriori family are based on two rule extraction measures, support and confidence.
Grissa, Dhouha, Guillaume, Sylvie, Nguifo, Engelbert Mephu   +2 more
core