Results 51 to 60 of about 610,962 (314)

Effort Estimation in Capturing Architectural Knowledge [PDF]

open access: yes, 2008
Capturing and using design rationale is becoming a hot topic for software architects, as architectural design decisions are now considered first class entities that should be recorded and documented explicitly.
Francisco Nava   +5 more
core   +2 more sources

Modeling the dynamics of contractual relations

open access: yesFrontiers in Artificial Intelligence, 2023
Contracts usually have clauses that enable contracted parties to adjust their contractual positions in time, e.g., to relieve another party from duty or to grant new permission.
Cristine Griffo   +6 more
doaj   +1 more source

The Relationship Between Physical Activity and Left Ventricular Remodeling in Childhood Cancer Survivors Treated With Anthracyclines: A Cross‐Sectional Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan   +15 more
wiley   +1 more source

Tracking Health Related Quality of Life From Diagnosis to Follow‐Up Among Australian Children With Acute Lymphoblastic Leukaemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows   +19 more
wiley   +1 more source

A knowledge representation method for modeling rule-based systems [PDF]

open access: yes, 2010
Knowledge representation has been the critical and intractable issues for a knowledge-based system, especially for complex or large systems. This paper proposes a knowledge representation approach for modeling rule-based systems using the defined fuzzy ...
Jiang B(姜波)   +4 more
core  

Modeling of Multi-Modal Knowledge Graph for Assembly Process of Wind Turbines with Multi-Source Heterogeneous Data

open access: yesShanghai Jiaotong Daxue xuebao
The assembly process information of wind turbines is usually scattered in process documents consisting of multi-modal information, such as 3D models, natural texts, and images.
HU Zhiqiang, LIU Mingfei, LI Qi, LI Xinyu, BAO Jinsong
doaj   +1 more source

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris   +24 more
wiley   +1 more source

Special issue on conceptual modeling - 34th International Conference on Conceptual Modeling (ER 2015) [PDF]

open access: yes, 2017
Paul Johannesson; Mong Li Lee; Liddle, S.; Opdahl, A.; Pastor López, O. (2017). Special issue on conceptual modeling - 34th International Conference on Conceptual Modeling (ER 2015). Data & Knowledge Engineering. 109:1-2.
Stephen Liddle   +12 more
core   +1 more source

A method for constructing a knowledge graph of coal mine roof disaster prevention and control

open access: yesGong-kuang zidonghua
At present, the decision-making of coal mine roof disaster prevention and control measures and the analysis of accident causes mainly rely on manual experience, and the level of intelligence is relatively low.
LUO Xiangyu   +4 more
doaj   +1 more source

Distilling Model Knowledge

open access: yesCoRR, 2015
Top-performing machine learning systems, such as deep neural networks, large ensembles and complex probabilistic graphical models, can be expensive to store, slow to evaluate and hard to integrate into larger systems. Ideally, we would like to replace such cumbersome models with simpler models that perform equally well.
openaire   +2 more sources

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