Results 81 to 90 of about 574,210 (309)

General support vector representation machine for one-class classification of non-stationary classes [PDF]

, 2008
Novelty detection, also referred to as one-class classification, is the process of detecting 'abnormal' behavior in a system by learning the 'normal' behavior.
Fatih Camci, Chinnam, R. B., Camci, Fatih, Ratna Babu Chinnam   +3 more
core   +1 more source

Machine Learning Predicts Earthquakes in the Continuum Model of a Rate‐And‐State Fault With Frictional Heterogeneities

Geophysical Research Letters
Machine learning (ML) has been used to study the predictability of laboratory earthquakes. However, the question remains whether or not this approach can be applied in a tectonic setting where one may have to rely on sparse earthquake catalogs, and where
Reiju Norisugi, Yoshihiro Kaneko, Bertrand Rouet‐Leduc   +2 more
doaj   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

Semantic Representation of Evidence-based Clinical Guidelines

, 2014
Evidence-based Clinical Guidelines (EbCGs) are that the document or recommendation has been created using the best clinical research findings of the highest value to aid in the delivery of optimum clinical care to patients.
Riano, D., Aït-Mokhtar, Salah, Harmelen, Frank Van, ten Teije, Annette, Miksch, S., Huang, Zhisheng   +5 more
core   +1 more source

Economical representation of spatial networks

PNAS Nexus
Abstract Network representation is crucial across various scientific, societal, technological, and artistic domains. The primary goal is to highlight patterns out of nodes interconnected by edges that are easy to understand, facilitate communication, and support decision-making.
de Vico Fallani, Fabrizio, Rolland, Thibault   +1 more
openaire   +3 more sources

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

A Formal Context Representation Framework for Network-Enabled Cognition

, 2010
Network-accessible resources are inherently contextual with respect to the specific situations (e.g., location and default assumptions) in which they are used.
Braines, Dave, Mott, David, Bao, Jie, Smart, Paul R   +3 more
core  

USER INTERFACE DESIGN FOR MANAGEMENT OF THE NETWORK ELEMENTS USING DOJO

, 2020
This paper focuses on the design of the user interface for managing network elements using dojo. Dojo is an open source java script toolkit which is used for constructing dynamic web user interfaces.
K, SUDHARANI T., H, SHANTHAKUMAR A.
core   +1 more source

An improved adaptive neural network for job-shop scheduling [PDF]

, 2005
This article is posted here with permission of IEEE - Copyright @ 2005 IEEEJob-shop scheduling is one of the most difficult production scheduling problems in industry.
Yang, S, Shengxiang Yang, Yang, Shengxiang   +2 more
core   +1 more source

Network Representation Learning Enhanced Recommendation Algorithm

IEEE Access, 2019
With the popularity of social network applications, more and more recommender systems utilize trust relationships to improve the performance of traditional recommendation algorithms.
Qiang Wang, Yonghong Yu, Haiyan Gao, Li Zhang, Yang Cao, Lin Mao, Kaiqi Dou, Wenye Ni   +7 more
doaj   +1 more source