[Comp-neuro] Web Conference /DMSE 2020, Denmark - Deadline Approaching[Third Batch Call for Submissions] .

Fredrick Johnson fredrickjohnsonj83 at gmail.com
Thu Aug 13 08:58:46 CEST 2020

International Conference on Data Mining and Software Engineering (DMSE 2020)
September 26 ~ 27, 2020, Copenhagen, Denmark

*WIKICFP Call* :
*DBWORLD Call* :

Scope & Topics
International Conference on Data Mining and Software Engineering (DMSE
2020) will provide an excellent international forum for sharing knowledge
and results in theory, methodology and applications of Data mining and
Software Engineering. The goal of this conference is to bring together
researchers and practitioners from academia and industry to focus on
understanding Data mining and modern software engineering concepts and
establishing new collaborations in these areas.

Authors are solicited to contribute to the conference by submitting
articles that illustrate research results, projects, surveying works and
industrial experiences that describe significant advances in the areas of
data mining and software engineering.

Topics of interest include, but are not limited to, the following
• Advanced Topics in Software Engineering
• Data Mining Applications
• Computer Education
• Data Mining in Modeling, Visualization, Personalization and Recommendation
• Data Mining Systems and Platforms, Efficiency, Scalability and Privacy
• Embedded System and Software
• Foundations, Algorithms, Models, and Theory
• Knowledge Processing
• Knowledge-based Systems and Formal Methods
• Languages and Formal Methods
• Managing Software Projects
• Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web,
• Multimedia and Visual Software Engineering
• Quality Management
• Search Engines and Information Retrieval
• Software Engineering Decision Making
• Software Engineering Practice
• Software Maintenance and Testing
• Software Process
• Web Engineering
• Web-based Education Systems and Learning Applications

Accepted Papers List
Learning for E-Learning-Aalen University, Germany.
Magnetic Resonance Image Classification of Major Depression Disorder Based
on Deep Learning-Beijing Technology and Business University, Beijing, China
COSM: Controlled Over-sampling Method. A Methodological Proposal to
Overcome the Class Imbalance Problem in Data Mining-CIRA (Italian Aerospace
Research Centre),Italy
A Process for Complete Autonomous Software Display Validation And Testing
(Using A Car-cluster)-SAP Labs India Pvt Lmt.,India
Analysis of the Displacement of Terrestrial Mobile Robots in Corridors
Using Paraconsistent Annotated Evidential Logic Et-Bialystok University of
A Study on the Minimum Requirements for the On-line, Efficient and Robust
Validation of Neutron Detector Operation and Monitoring of Neutron Noise
Signals using Harmony Theory Networks-University of Piraeus, France
Penalized Bootstrapping for Reinforcement Learning in Robot
Control-University of Bonn,Germany
Deep Reinforcement Learning for Navigation in Cluttered
Environments-University of Bonn, Germany
New Hybrid Artificial Intelligent Models Basedon Optimized-support Vector
Machine and Locallylinear Neuro fuzzy for the Supplier Assessment
Problem-Islamic Azad University, Iran
IoT Learning Model for Smart Universities: Architecture, Challenges, and
Applications-Whitecliffe College of Technology & Innovation, New Zealand
The Principles of the Law General on the Protection of Personal Data and
their Importance-Paulista University, Brazil.
Controlled Machine Text Generation of Football Articles-University of
Warsaw, Poland
On the Comparison of Deep Neural Networks for Document Retrieval-Institute
for Community Medicine, Germany
Evaluationn of Company Investment value based on Machine Learning-Beijing
University of Technology, China
Performance evaluation of Precoded Band Codes and Hamming Norm Decoders in
Random Linear Network Coding-National Engineering School of Tunis, Tunisia
Neurological Signals Compression and Encryption for Security Transmission
Based on IOMT: A Tele-neurological Diagnosis-University of Anbar, Iraq.

Paper Submission
Authors are invited to submit papers through the conference Submission
System . Submissions must be original and should not have been published
previously or be under consideration for publication while being evaluated
for this conference. The proceedings of the conference will be published by
Computer Science Conference Proceedings in Computer Science & Information
Technology (CS & IT) series (Confirmed).

Here’s where you can reach us : dmse at dmse2020.org or dmsesecretary at gmail.com

Submit your work Today!
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