Call for Paper
Authors are invited to submit original unpublished work that is not currently under consideration for publication elsewhere via the various tracks hosted by ISTA’16.
Track I: Intelligent Tools and Techniques |
- Agents and Multi-Agent Systems
- Causal Discovery and Inference
- Cloud Robotics
- Cognitive Modelling
- Distributed Intelligence
- Expert Systems
- Fuzzy Techniques and Systems
- Genetic Algorithms and Evolutionary Computing
- Hybrid Intelligent Systems
- Information Forensics and Security
- Intelligent Agents and Multi-Agent Systems
- Intelligent Communication Systems
- Intelligent Network Protocols
- Intelligent Control Systems
- Intelligent Manufacturing Systems
- Intelligent Mechatronics
- Intelligent Semiconductor Devices and Circuits
- Knowledge Discovery and Data Mining
- Knowledge-Based Systems
- Machine Learning
- Neural Networks
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- Paraphrasing
- Semantic Media Processing
- Sensing, Clustering and Classification
- Smart Grid Communications
- Social Recommender Systems
- Spatial & Temporal Reasoning
- Rough Sets
- Artificial Life
- Bioinformatics using Intelligent Techniques
- Biologically Inspired Computation
- Compressive Sensing
- Deep Learning Technology
- Information Agents on the Internet
- Intelligent E-business and E-learning
- Intelligent Information Retrieval
- Intelligent Signal Processing
- Intelligent Tutoring and Coaching Systems
- Intelligent User Interfaces
- Intelligent Web Mining & Applications
- Internet Computer Vision
- Smart Living Technology
- Smart Sensor Networks
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Track II: Applications using Intelligent Techniques |
- Industrial Control and Monitoring
- Fault Diagnosis, Robotics
- Image Processing
- Machine & Computer Vision
- Medical & Diagnostic Systems
- Financial & Stock Market Monitoring and Prediction
- Speech Processing and Synthesis
- Natural Language Processing
- Environmental Monitoring
- Online Advertising
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- Power Electronics & Drives
- High Voltage Systems
- Engine Control and Vehicle Applications
- Intelligent Signal Processing and Wavelets
- Intelligent Customer Support Systems
- Educational Data Mining
- Multi-Media Intelligent Information Systems
- Intelligent Transportation Systems
- Intelligent Bioinformatics
- Intelligent Systems for Health Informatics
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Track III: Intelligent Image Processing and Artificial Vision |
- 3D Processing
- Artificial Vision
- Automated Visual Surveillance
- Biological Signal and Image Processing
- Color and Texture
- Document Analysis
- Biologically-Inspired Vision
- Enhancement of Video and Still Images
- Feature Extraction
- Image and Video Retrieval
- Image Classification
- Image Compression and Coding
- Image Filtering
- Image Registration
- Image Restoration
- Image Segmentation
- Image Understanding and Classification
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- Medical Imaging
- Mesh Acquisition and Simplification
- Motion Tracking and Analysis
- Object Recognition/Detection/Categorization
- Pattern Recognition, Clustering, and Classification
- Segmentation and Grouping
- Shape Recovery from Multiple Images
- Sonar and Acoustical Imaging
- Speech, Audio, and Multimedia Signal Processing
- Statistical Methods and Learning
- Video Analysis and Event Recognition
- Vision and Visual Processing
- Vision for Graphics
- Vision for Robotics
- Visualization of Temporal Sequences and Data
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Track IV: Intelligent Techniques for Ad-hoc and Wireless Sensor Networks |
- Agent-Based Architectures and Middleware
- Intelligent Agent-Based Peer-To-Peer Systems
- Intelligent Broadcasting
- Intelligent Clustering Techniques
- Intelligent Data Fusion and Aggregation
- Intelligent Mobility Management
- Intelligent Query and Data Dissemination
- Intelligent Spectrum Management in Cognitive Radio Ad Hoc Networks
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- Intelligent Resource Management
- Intelligent Routing in Delay Tolerant Networks
- Intelligent Routing Protocols for WSN
- Intelligent Self Organizing Networks
- Intelligent Vehicular Ad Hoc Network
- Reliability, Resiliency and Fault Tolerance Techniques
- Swarm Intelligence Based Localization in WSN
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Track V: Business Intelligence and Big Data Analytics |
- Active Learning and Imbalanced Data Handling
- Big Data Economy, QoS and Business Models
- Big Data Intelligence Analysis
- Big Data Knowledge Indexing and Classification
- Big Data Quality and Management
- Business Analysis for Mobile and Cloud Applications
- Business Intelligence Applications for Finance
- Business Process Mining and Intelligence
- Crowd-Sourcing Systems
- Customer Segmentation or Profiling
- Design Strategies for Big Data Analytics
- Economic Issues of Big Data Analytics
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- Healthcare Decision Support
- Large-Scale Recommendation Systems
- Open-Source Intelligence
- Opinion Mining and Sentiment Analysis
- Search Engine Marketing and Optimization
- Security, Privacy and Legal Issues Specific to Big Data
- Social Media Analytics
- Software and Tools for Big Data Management
- Terrorism Informatics
- Utility-Based Data Mining
- Visual Interface and HCI for Business Intelligence
- Web Mining and Analytics for Web 2.0
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Track VI: Intelligent Distributed Computing |
- Autonomic and Adaptive Distributed Computing
- Context-Aware Intelligent Computing
- Data Mining and Knowledge Discovery in Distributed Environments
- Distributed Frameworks and Middleware for the Internet of Things
- Distributed Problem Solving and Decision Making
- Emerging Behaviors in Complex Distributed Systems
- Information Extraction and Retrieval in Distributed Environments
- Intelligence in Cooperative Information Systems and Social Networks
- Intelligence in Distributed Multimedia Systems
- Intelligence in Mobile, Ubiquitous and Pervasive Computing
- Intelligence in Peer-To-Peer Systems
- Intelligent Cloud Infrastructures
- Security Informatics
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- Intelligent Distributed Applications in E-Commerce, E-Health, E-Government
- Intelligent Distributed Problem Solving and Decision Making
- Intelligent High-Performance Architectures
- Intelligent Integration of Data and Processes
- Intelligent Service Composition and Orchestration
- Intelligent Service-Oriented Distributed Systems
- Knowledge Integration and Fusion from Distributed Sources
- Modelling and Simulation of Intelligent Distributed Systems
- Multi-Agent Approaches to Distributed Computing
- Self-Organising and Adaptive Distributed Systems
- Semantic and Knowledge Grids
- Virtualization Infrastructures for Intelligent Computing
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