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MBDAS 2020 : 2020 International Conference on Modeling, Big Data Analytics and Simulation (MBDAS2020)

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Link: http://www.mbdas2020.org
 
When Dec 20, 2020 - Dec 21, 2020
Where Xiamen, China
Abstract Registration Due Nov 27, 2020
Submission Deadline Nov 3, 2020
Categories    modeling   simulation   big data analytics
 

Call For Papers

Welcome to MBDAS2020

2020 International Conference on Modeling, Big Data Analytics and Simulation (MBDAS2020) will be held in Xiamen, China during December 20-21, 2020 as one of the most important leading annual conference. This conference will promote the effective exchange of academic research in Modeling, Big Data Analytics, Simulation and more high frequency hot spot research fields.
MBDAS2020 sincerely welcome interested researchers and professors to understand the frontier research trends and share latest research results, summarize current work and inspire scientific research ideas, broaden horizons and cultivate scientific research interest. The conference can also be described as a remarkable opportunity for the academic and industrial communities to discuss recent developments in the fields of Modeling, Big Data Analytics and Simulation.
Sincerely looking forward for your paper submissions and invite you to participate in MBDAS2020 Conference in Xiamen, China during December 20-21, 2020!

Submission

On behalf of MBDAS2020 organizing committee, we sincerely invite you to submit academic papers, share valuable experiences with colleagues and participate with wonderful presentations.

1. Please format your paper strictly according to Template and fill in Submission form. Submission subject as “submission+name+tel.”
2. Each submission should be at least 4 pages. Shorter papers should not be included in the conference proceedings.
3. All papers should be with clear argumentation, sufficient theoretical analysis, proper language and standard English grammar.
4. Please submit your paper and Submission Form to submit@mbdas2020.org before submission deadline.


Publication

Accepted papers in 2020 International Conference on Modeling, Big Data Analytics and Simulation (MBDAS2020) will be published in conference proceedings.

Publication Notice:
All submissions should be original, professional and have not been published elsewhere. Paper length should exceed 4 pages followed and it need be formatted strictly according to the Template.

Submissions must be original, unpublished work, and not have been submitted to another conference or journal for publication. All submission will be peer-reviewed roughly by at least 2-3 experts.

Authors are invited to submit English papers. Please confirm your papers with clear argumentation, close core, sufficient theoretical analysis, proper language and standard grammar in English.

Submission of a paper implies that should the paper be accepted for formal publication, at least one of the authors will register and present the paper in the conference. Plagiarism in any form is not allowed.

Call for Papers

2020 International Conference on Modeling, Big Data Analytics and Simulation (MBDAS2020) will be held on December 20-21, 2020, Xiamen, China as a platform for experienced and practical researchers from academia and industry working in the related fields to share and discuss the most advanced researches and future academic directions.

MBDAS2020 calling for high quality papers of Modeling, Big Data Analytics and Simulation including, but not limited to:
System Modelling and Simulation Technologies
Agent Based Simulation
Analytical and Stochastic Modelling Techniques and Applications
Application of Simulation Software
Application of Modelling and Simulation
Application Technology
Biomedical Visualization an.d Applications
Bond Graph Modelling
CAD/CAE/CAM/CIMS/VP/VM/VR
Chaos Modelling, Control and Signal Transmission
Circuit Simulation & Modeling
Computational Modelling and Simulation in Science and Engineering
Computer Games and Simulation
Management, Energy, Environment, Life and Biomedical Engineering, etc.
Device Simulation & Modeling
Perceptual Issues in Visualization and Modeling
Process Simulation and Modeling
Production, Logistics and TRANSPORT
Prototyping and Simulation
Real-time Modeling and Simulation
Simulation and Modelling in Molecular Biology
Simulation Application in Industry
Simulation Based Acquisition (SBA)/virtual prototyping engineering technology
Simulation in Industry, Business and Services
Vision and Visualization Discrete and Numerical Simulation
Discrete Event Modelling and Simulation in Production, Logistics and Transport

Computational Modelling and Simulation
High Performance Computing & Simulation
Information and Scientific Visualization
Intelligent Computing and Simulation Technology
Internet, Web and Security Visualization
Computing and Simulation Applications in Education
Computing and Simulation Applications in Military Field
Databases and Visualization
Pervasive Computing and Simulation Technology
Emerging Technologies and Applications
Finite and Boundary element Techniques
M&S Technology on Synthesized Environment and Virtual Reality Environment
M&S Technology of Continuous System/Discrete System / Hybrid System, /Intelligent System
M&S Technology of Complex System and Open, Complex, Huge System
Mathematical Modelling and Application
Modelling, Simulation and Control of Technological Processes
Mathematical and Numerical Methods in Simulation & Modeling
Networked Modeling and Simulation technology
Parallel and Distributed Computing Simulation
Simulation of Complex Systems
Simulation of Intelligent Systems
Simulation, Experimental Science and Engineering
Simulator

Big Data Analysis
Big Data Analysis Processing
Big Data Analysis Analytics and Metrics
Big Data Analysis Architectures
Big Data Analysis Encryption
Big Data Analysis Management
Big Data Analysis Search and Mining
Machine learning
Data mining
Approximate and scalable statistical methods
Querying and search
Data Lifecycle Management for Big Data
Storage and analytic architectures
Performance and debugging
Hardware optimizations for Big Data
Data Flow management and scheduling

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