Machine Intelligence is used to design and train machines with the help of advanced computational techniques to exhibit some aspects of human intelligence.
MI highlights the intersection of machine learning and artificial intelligence and may be used to solve many complex real-life problems.
While signal processing models and analyses almost all forms of data that can be digitized such as images, videos, audio and sensor data etc.
Conferences bring together Machine Intelligence and Signal Processing to share their recent investigations and discuss the advances and future directions of these evolving areas.
Contents
Machine Learning
- Dimensionality Reduction
- Pattern Classification
- Feature Selection
- Regression
- Transfer Learning
- Artificial Neural Network (ANN)
- Support Vectors and Kernel Design
- Neural Networks and Learning Systems
- Machine Learning Architectures and Formulations
- Ensemble Models
- Deep Learning
- Optimization and Learning Methods
- Clustering and Association
- Artificial Intelligence and Recommender systems
- Reinforcement Learning
- Regularization
- Multi View, Multi modal and Multi-task Learning
Network And IoT Intelligence
- Wireless Sensor Network for IoT Security
- Wireless Ad Hoc Networks
- IoT-based Automated Systems
- Smart Agriculture, Retails and Water Management
- AI/ML for IOT
- Intelligent green communications
- e-Health, Assisted Living, and e-Wellness
- Smart Grid, Energy Management
- Collaborative Applications and Systems
- IoT Data Management
- Semantic Technologies, Collective Intelligence
- Cognitive and Reasoning about Things and Smart Objects
- Mobile Cloud Computing (MCC) and IoT
- IoT Privacy and Security Concerns
Signal Processing
- Signal Feature Descriptors
- Compressed Sensing
- Signal Processing Systems and Algorithm
- Radar Signal Processing
- Distributed Signal Processing
- Nonlinear Signal Processing
- Wideband Signal Processing
- Adaptive Signal Processing
- Speech Signal Processing and Recognition
- Signal Processing for Smart System
- Biomedical Signal Processing and Bioinformatics
- Multi modal signal processing
- Sparse Signal Processing
- Signal Processing for IoT
- Coding and Compression
- Signal Processing for Smart Systems
- Spread Spectrum Systems
Computer Vision & Pattern Recognition
- Computer, Robot and Machine Vision
- Multimedia Systems and Multimedia Content
- Virtual Reality
- Biomedical Imaging
- Image Segmentation and Classification
- Video Analysis
- Scientific Imaging and Remote Sensing
- Content Based Image Retrieval
- Computational Imaging
- Digital Image Processing
- Image Registration and Restoration
- Data Representation and Modeling
- Data and Knowledge Extraction from Images
- Psychological aspects of image analysis and pattern recognition
Data Science & Computational Intelligence
- Data Management Systems
- Data Analytics and Data Science
- Intelligent Information Retrieval
- Data Visualization
- Big Data Analytics and Social Networking
- Big Data Applications
- Artificial or Computational Intelligence
- Statistical Methods for Data Science
- Evolutionary Algorithms
- Meta Heuristics Algorithms
- Nature Inspired Algorithms
- Fuzzy Logic and its Application
- Adaptive Neuro Fuzzy Systems
- Rough Sets, Granular Computing
- Pattern Discovery, Possibility Theory, Bayesian Networks, Hidden Markov Models
- Natural Language Processing
Machine Intelligence & Signal Processing Application
- Brain Computing Interface
- Green Signal Processing
- Mobile and Cloud Signal Processing
- Smart Signal Processing
- Human Computer Interaction
- Automated Machine Interaction
- Computational Biology
- Diagnosis of Mental Disorder
- Alzheimer’s, Epilepsy and other EEG signal-based Disease detection
- Applications of Active Learning
- Automated Vehicular Interaction
- Social Signal Processing
Computational Intelligence
- Distributed Algorithms
- Concurrency and Parallelism
- System Specification and Verification: Formal Methods
- Secure Computing and Communication
- Cloud and P2P System
- Cyber Physical Systems
- Green Computing
- Fog Computing
- Edge Computing
- Internet of Things Applications and Services
- Grid Middleware, Grid Computing, Data and Networking Infrastructures
- Distributed and Large-Scale Data Access and Management
- Data Repositories, Distributed Resource Management and Scheduling
- Supercomputer/cluster/grid integration issues
- Grid Performance Evaluation, QoS and SLA Negotiation
- User Development Env. and Programming Tools for Grid Computing.
- Infrastructure as a service (IaaS)
- Virtualization in data centers, Virtual networks, Virtual data, storage as a service
- Virtualization for resource management and QoS assurance
- Security aspects of using virtualization in a distributed environment
- Fault tolerance in virtualized environments
- Virtualization technologies, Virtualization in P2P systems
- Virtualization-based adaptive/autonomic systems
- The creation and management of environments/appliances
- Performance modeling (applications and systems)
- Virtualization techniques for energy/thermal management
- Case studies of applications on IaaS platforms
- Deployment studies of virtualization technologies
- Tools relevant to virtualization
Network Security
- Blockchain
- Cryptography and Cryptanalysis
- Code-based Cryptography
- System Security/Secure OS
- Data Hiding
- Social Network Analytics/ Privacy preservation in social networks
- Data Security and Privacy
- Security and Privacy on COVID-19 Technologies
- Distributed FinTech
- Data Mining Methods for Security
- Information Forensics
- Biometric Identification and Recognition
- Biometric Surveillance, Biometric Access Control
- Extraction of Biometric Features (fingerprint, iris, face, voice, palm)
- Cryptography, cryptographic primitives
- Applied Cryptography and provably-secure cryptographic protocols
- Economic fraud on the Internet: phishing, pharming, spam, and click fraud
- Email and web security
- Intellectual property protection: metering, watermarking, and digital rights management.
Information System
- Machine Learning
- Deep Learning
- Supervised and Unsupervised Learning
- Multi-Agent Learning
- Ensemble Methods
- Reinforcement Learning
- Multi-Strategy Learning
- Evolution-Based Methods
- Learning in Integrated Architectures
- Data Mining
- Information Retrieval
- Web Mining
- Game Playing
- Problem Solving and Planning
- Natural Language Processing
- Robotics and Control
- Design and Diagnosis
- Vision and Speech Perception
- Artificial Intelligence
- explainable Artificial Intelligence
- Recommender Systems
- Optimization Techniques
- Agent and Multi-Agent Systems
- Hybrid Systems
- Machine Learning for Data Mining
- Data Mining Methods for Security
- Agent and Multi-Agent Systems
- Hybrid Systems
- Unsupervised Learning
- Classification Methods
- Novelty Detection
- Intrusion Detection Systems
- Log Correlation Methods
- Adaptive Defense of Network Infrastructures
- Adaptive Reasoning
- Document Classification and Processing
- Ontologies and Conceptual Information Processing
- Semantic Information Representation
- Natural Language Acquisition
- Web Semantics in Intelligence and Law-Enforcement
- Industrial and Commercial Applications of Intelligent Methods for Security
- Intelligent Control and Monitoring of Critical Systems
- Centralized Control Systems
- Adaptive Planning for Strategic Reasoning
- Intelligent Methods in Energy and Transportation
- Planning and Automated Reasoning in Large System Control
- Computer Science, namely on HPC and Grid computing issues
- Computational Sciences, with requirements in HPC and Grid
- Computational Engineering with a similar focus.
