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.NET Framework

Known as: .net framework 3, Microsoft .Net, .rsp 
.NET Framework (pronounced dot net) is a software framework developed by Microsoft that runs primarily on Microsoft Windows. It includes a large… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Radiation modeling using the Uintah heterogeneous CPU/GPU runtime system
The Uintah Computational Framework was developed to provide an environment for solving fluid-structure interaction problems on… 
2012
2012
Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics
The development of brain science has led to a vast increase of brain data. To meet requirements of a systematic methodology of… 
2011
2011
Central Force Optimization with variable initial probes and adaptive decision space
2009
2009
POPMUSIC for a real-world large-scale vehicle routing problem with time windows
This paper presents a heuristic approach based on the POPMUSIC framework for a large-scale Multi Depot Vehicle Routing Problem… 
Highly Cited
2007
Highly Cited
2007
Beyond Stack Inspection: A Unified Access-Control and Information-Flow Security Model
Modern component-based systems, such as Java and Microsoft .NET common language runtime (CLR), have adopted stack-based access… 
2006
2006
M-Learning Management Tool Development in Campus-Wide Environment
Mobile learning (M-Learning) integrates the current mobile and wireless computing technology with education primarily to enhance… 
2004
2004
A peer to peer computing framework: design and performance evaluation of YML
Peer to peer and grid systems provide attractive middlewares to solve large numerical problems. The development, deployment and… 
2003
2003
Toward explicit policy management for virtual organizations
A virtual organization (VO) is a dynamic collection of distributed resources that are shared by a dynamic collection of users… 
2003
2003
Microsoft .Net Compact Framework: Core Reference
From the Publisher: This comprehensive reference provides developers with the information they need to develop new applications… 
Highly Cited
1998
Highly Cited
1998
The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems
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