The scope of the SMC’2019 conference covers all multidisciplinary topics related to the latest research and their importance in data engineering.
In this event, five major themes will be addressed:
Theme 1 : Multicriteria Data Analysis
- Classification and Discrimination
- NP-Hard Problems
- Collaborative Classification
- Supervised and Unsupervised Machine Learning
- Mixed Models, Markov Models, Fuzzy Logics
- Optimization, Visualization
- Neural Networks, Genetic Algorithms
- Spectral Classification, Selection Model
- Cross Validation, Artificial Learning, Support Vector Machines
- Big Data Analysis, Data Integration
Theme 2 : Bioinformatics and Life Science Data Analysis
- Algorithms for Life Sciences
- Big Data for Life Sciences
- Methods and Tools for Omics
- Computational Studies on Biological Networks
- Sequence Analysis and Comparative Genomics
- High Throughput and Next-Generation Sequencing (HTS, NGS)
- Predictive Models for OMICs Data
- Bioinformatics Databases and Algorithms
- Health and Biomedical Data Management and Integration
- Laboratory Information Management Systems (LIMS)
- Biomedical Text Mining
- Bio ontologies
Theme 3 : Multimedia Data Analysis
- Filtering, Transformation, and Multiresolution Processing
- Restauration, Enhancement, High Resolution
- Compression, Transmission, Storage
- Image Segmentation and Classification
- Color, Multispectral and Textured Image Processing
- 3D Image, Stereo Vision
- Video Image Processing
- Biomedical Image Processing and Visualisation
- Image and Signal Processing Applications
- Image and Video Indexation
Theme 4 : Information Security / IT Security
- Cryptography and cryptanalysis
- Steganography and steganalysis
- Watermarking Security
- Biometrics
- Intrusion detection and prevention
- Security and confidentiality of Big Data
Theme 5 : E-Learning
- Pedagogical innovations
- Mobile and ubiquitous learning
- Open education
- Learning design
- Social media and technology-mediated learning communities
- Open educational resources and MOOCs
- Learning analytics
- Virtual learning
- Educational scenario
- Serious Games
