Results 41 to 50 of about 19,125,334 (286)

Dirty engineering data-driven inverse prediction machine learning model

open access: yesScientific Reports, 2020
Most data-driven machine learning (ML) approaches established in metallurgy research fields are focused on a build-up of reliable quantitative models that predict a material property from a given set of material conditions.
Jin-Woong Lee   +5 more
doaj   +1 more source

E-MDAV: A Framework for Developing Data-Intensive Web Applications

open access: yesInformatics, 2022
The ever-increasing adoption of innovative technologies, such as big data and cloud computing, provides significant opportunities for organizations operating in the IT domain, but also introduces considerable challenges.
Paolo Bocciarelli   +3 more
doaj   +1 more source

VIDEAS : Supporting Answer-Set ProgramDevelopment using Model-Driven Engineering Techniques

open access: yes, 2011
Recently, the techniques of model-driven engineering (MDE) have been proven valuable to manage the complexity of modern software systems during the software development process.
Zwickl, Patrick,   +4 more
core   +5 more sources

Adopting MDE for Specifying and Executing Civilian Missions of Mobile Multi-Robot Systems

open access: yesIEEE Access, 2016
Robots are meant to replace humans for a broad variety of everyday tasks, such as environmental monitoring or patrolling large public areas for security assurance.
Federico Ciccozzi   +3 more
doaj   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

Quality-Driven Detection and Resolution of Metamodel Smells

open access: yesIEEE Access, 2019
In model-driven engineering, analogously to any software development practice, metamodel design must be accurate and performed by considering relevant quality factors, including maintainability, reusability, and understandability.
Lorenzo Bettini   +3 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

A Vision of Collaborative Verification-Driven Engineering of Hybrid Systems [PDF]

open access: yes, 2013
Hybrid systems with both discrete and continuous dynamics are an important model for real-world physical systems. The key challenge is how to ensure their correct functioning w.r.t. safety requirements.
Stefan Mitsch   +8 more
core   +1 more source

A-posteriori typing for Model-Driven Engineering [PDF]

open access: yes2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS), 2015
Model-Driven Engineering is founded on the ability to create and process models conformant to a meta-model. Hence, meta-model classes are used in two ways: as templates to create objects, and as classifiers for them. While these two aspects are inherently tied in most meta-modelling approaches, in this paper, we discuss the benefits of their decoupling.
Juan de Lara   +2 more
openaire   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

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