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Call4Papers  · 公众号  · 科研  · 2020-12-10 08:48

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Software Architectures for Reliable Systems: Design Patterns, Frameworks, Architecture-Centered Development, Component-based Design and Development;

Methods and Techniques for Quality Software Development and Maintenance: Requirements Engineering, Model-driven Architecture and Engineering, Formal Methods, Re-engineering and Reverse Engineering, Reuse, Software Management Issues, Compilers, Libraries, Support Tools;

Ada Language and Technologies: Compilation Issues, Runtimes, Ravenscar, Profiles, Distributed Systems, SPARK;

Mainstream and Emerging Applications with Reliability Requirements: Manufacturing, Robotics, Avionics, Space, Health Care, Transportation, Cloud Environments, Smart Energy Systems, Serious Games, etc;

Achieving and Assuring Safety in Machine Learning Systems;

Experience Reports in Reliable System Development: Case Studies and Comparative Assessments, Management Approaches, Qualitative and Quantitative Metrics;

Experiences with Ada: Reviews of the Ada 2012 language features, implementation and use issues, positioning in the market and in the software engineering curriculum, lessons learned on Ada Education and Training Activities with bearing on any of the conference topics.




计算机体系结构,并行与分布式计算

SMARTCOMP 2021

IEEE International Conference on Smart Computing


全文截稿: 2021-01-24
开会时间: 2021-08-23
会议难度: ★★★★
CCF分类: 无
会议地点: Irvine, Orange County, California, USA
网址:https://www.smart-comp.info



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CALL FOR PAPERS
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The 7th IEEE International Conference on Smart Computing (SMARTCOMP 2021), August 23-27, 2021 in Irvine, Orange County, California, USA
https://www.smart-comp.info
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SMARTCOMP 2021, the 7th edition of the conference, will be held in Irvine, Orange County, California, USA. SMARTCOMP is the premier conference on smart computing. Smart computing, a multidisciplinary domain is based on the synergistic influence of advances in Sensor-based technologies, the Internet of Things (IoT), Cyber-Physical Systems, Edge computing, Big Data analytics, Machine Learning, Cognitive Computing, and Artificial Intelligence.






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