Results 151 to 160 of about 20,578 (261)

Adapting Software Development Process towards the Model Driven Architecture

open access: yes
Model driven architecture (MDA) is increasingly gaining the attention of both research communities and industry. MDA is a model-oriented software development paradigm, which can be applied to any software development methodology.
Ņikiforova, Oksana   +1 more
core  

An information-driven architecture for cognitive systems research

open access: yes, 2008
Wrede S. An information-driven architecture for cognitive systems research. Bielefeld (Germany): Bielefeld University; 2008.With computer science more and more leaving the traits of solitary algorithms and distinct disciplines towards complex intelligent
Wrede, Sebastian ; https://orcid.org/
core  

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs   +7 more
wiley   +1 more source

Discussing the Difference between Model Driven Architecture and Model Driven Development in the Context of Supporting Tools

open access: yes
Evolution of software development process, increasing complexity of software systems and appearance of necessity to construct the software systems in the manner offered by OMG’s initiative Model Driven Architecture arise developers to pay great attention
Čerņičkins, Antons   +2 more
core  

A Model-Driven Approach to Microservice Software Architecture Establishment [PDF]

open access: yesAnnals of computer science and information systems, 2018
Branko Terzic   +3 more
doaj   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Subgraph Colouring Technique for Computer with Data Driven Computation Model

open access: yesActa Informatica Pragensia, 2013
Paper deals with the data driven computation control paradigm, which is alternative to the mainstream control flow model of program execution control.
Liberios Vokorokos   +3 more
doaj  

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang   +21 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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