Calls
CONFERENCE TRACKS
MIND 2023 invites high-quality research papers in various tracks listed below.
Machine Learning and Computational Intelligence
- Theoretical Computer Science
- Artificial Intelligence
- Pattern recognition
- Computer Graphics
- Virtual Reality
- Distributed & Cloud Computing
- Signal Processing
- Software Architecture
- Soft Computing
- Grid and Cluster Computing
- Evolutionary Algorithms
- Ubiquitous Computing
- Parallel and Distributed Networks
- Perceptual Computing, and related topics
- Learning using Ensemble and boosting strategies
- Active Machine Learning
- Manifold Learning
- Fuzzy Learning
- Kernel Based Learning
- Genetic Learning
- Hybrid models
- Bioinformatics and biomedical informatics
- Healthcare and clinical decision support
- Collaborative filtering
- Information retrieval
- Natural language processing
- Web search
- Inference dependencies on multi-layered networks
- Recurrent Neural Networks and its applications
- Graph wavelets
- Spectral graph theory
- Self-organizing networks
- Multi-scale learning
- Unsupervised feature learning
- Clustering, Classification and regression methods
- Supervised, semi-supervised and unsupervised learning
- Reinforcement Learning
- Optimization methods
- Parallel and distributed learning
- Adaptive and dynamic shrinking
- Pattern summarization
- Graph embeddings
- Graph mining methods
- Fuzzy approaches to parameter estimation
- Genetic optimization
- Bayesian estimation approaches
- Boosting approaches to Transfer learning
- Recurrent Neural Networks
Image Processing and Computer Vision
- Filtering, Transforms, Multi-Resolution Processing
- Restoration, Enhancement, Super-Resolution
- Computer Vision Algorithms and Technologies
- Compression, Transmission, Storage, Retrieval
- Multi-View, Stereoscopic, and 3D Processing
- Multi-Temporal and Spatio-Temporal Processing
- Biometrics, Forensics, and Content Protection
- Biological and Perceptual-based Processing
- Medical Image and Video Analysis
- Document and Synthetic Visual Processing
- Color and Multispectral Processing
- Computational Imaging
- Video Processing and Analytics
- Visual Quality Assessment
- Deep learning for Images and Video
- Human activity recognition
- Software Tools for Imaging
- Image Generation, Acquisition, and Processing
- Image-based Modeling and Algorithms
- Mathematical Morphology
- Image Geometry and Multi-view Geometry
- 3D Imaging
- Novel Noise Reduction Algorithms
- Motion and Tracking Algorithms and Applications
- Watermarking Methods and Protection
- Wavelet Methods
- Image Data Structures and Databases
- Image Compression, Coding, and Encryption
- Multi-resolution Imaging Techniques
- Multimedia Systems and Applications
- Novel Image Processing Applications
- Camera Networks and Vision
- Machine Learning Technologies for Vision
- Cognitive and Biologically Inspired Vision
- Active and Robot Vision
- Fuzzy and Neural Techniques in Vision
- Novel Document Image Understanding Techniques
- Novel Vision Application and Case Studies
Network and Cyber Security
- Network Performance Analysis
- Human factors in security and privacy
- Security and privacy in ad hoc networks
- Machine learning for Biometric security and privacy
- Machine learning for Security and privacy of Web service
- Security and privacy in e-services
- Security and privacy in grid computing
- Security and privacy in mobile systems
- Security and privacy in wireless sensor networks
- Cyber risk and vulnerability assessment
- Cyber-crime and warfare
- Cyber threat analysis and modelling
- Machine learning for Bluetooth, WiFi, WiMax security
- Security and privacy in smart grid and distributed generation systems
- Security and privacy in social applications and networks
- Cyber forensic tools, techniques, and analysis
- Visual analytics for cyber security
- Security and privacy of mobile cloud computing
- Cyber security testbeds, tools, and methodologies
- Active and passive cyber defense techniques
- Insider threat detection and prevention
- Critical infrastructure protection
- Security and privacy in industrial systems
- Security and privacy in pervasive/ubiquitous computing
- Intrusion detection and prevention
- Botnet detection and mitigation
Data Sciences and Big Data
- Big data management
- Platforms and technologies for big data
- Data retrieval
- Big data storage techniques
- Data mining and warehouse
- Data visualization
- Modelling structure and storage of big data
- Scalability and portability issues of big data
- Big data recommender systems
- Digital Forensics
- Parallel processing of big data
- Distributed access of big data
- Applications of big data and related topics
- Web mining
- Social Network Analysis
- Text Mining
- Sentiment Analysis
- Algorithms
- Novel Theoretical Models
- Novel Computational Models
- Data and Information Quality
- Data Integration and Fusion
- Cloud/Grid/Stream Computing
- High Performance/Parallel Computing
- Energy-efficient Computing
- Software Systems
- Search and Mining
- Data Acquisition, Integration, Cleaning
- Data Visualizations
- Semantic-based Data Mining
- Data Wrangling, Data Cleaning, Data Curation, Data Munching
- Data Analysis, , Statistical Insights
- Decision making from insights, Hidden patterns
- Data Science technologies, tools, frameworks, platforms and APIs
- Link and Graph Mining
- Efficiency, scalability, security, privacy and complexity issues in Data Science
- Labelling, Collecting, Surveying, Interviewing and other tools for Data Collection
- Applications in Mobility, Multimedia, Science, Technology, Engineering, Medicine, Healthcare,
Finance, Business, Law, Transportation, Retailing, Telecommunication
