PRAI 2024 Call for Papers

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Special Session 1 - Artificial Intelligence in Medical Image Analysis
Special Session 2 - Deep Learning for Intelligent Systems and Pattern Recognition
Special Session 3 - Edge AI and Visual Analysis

Special Session 4 - Intelligent Data Analysis and Cyber Security
Special Session 5 - Intelligent affective computing and human-computer interaction systems
Special Session 6 - Artificial Intelligence for Aerospace applications


The PRAI 2024 solicits contributions of abstracts, full papers and posters that address themes and topics of the conference. The topics of interest include, but not limited to the following:

【Call for Papers & Tracks 】

Track 1. Pattern Recognition and Machine Learning
Track 2. Multiagent System and Robot Vision
Track 3. Image, Speech, Signal and Video Processing
Track 4. Artificial Intelligence and Smart Healthcare
Track 5. Unmanned Systems and Intelligent Perception
Track 6. Intelligent Detection, Tracking and Recognition
Track 7. Biomedical Signal Processing and Applications
Track 8. Intelligent Manufacturing and Data Mining
Track 9. Internet of Things and Optimization Control
Track 10. Regional Energy and Smart Grids
Track 11. Smart Agriculture and Remote Sensing
Track 12. Metaverse, Virtual Reality and Digital Twin

 

I. Pattern Recognition and Machine Learning

  • Statistical, syntactic and structural pattern recognition
    Machine learning and data mining
    Artificial neural networks
    Dimensionality reduction and manifold learning
    Classification and clustering
    Graphical Models for Pattern Recognition
    Representation and analysis in pixel/voxel images
    Support vector machines and kernel methods
    Symbolic learning
    Active and ensemble learning
    Deep learning
    Pattern recognition for big data
    Transfer learning
    Semi-supervised learning and spectral methods
    Model selection
    Reinforcement learning and temporal models
    Performance Evaluation

II. Computer Vision and Robot Vision

  • Vision sensors
    Early/low-level vision
    Biologically motivated vision
    Illumination and reflectance modeling
    Image based modeling
    Physics-based vision
    Perceptual organization
    Shape modeling and encoding
    Computational photography
    3D shape recovery
    Motion, tracking and video analysis
    3D sensors: depth sensors, ToF, Kinect
    2D/3D object detection and recognition
    Activity and event analysis
    Scene understanding
    Occlusion and shadow detection
    Stereo and multiple view geometry
    Reconstruction and camera motion estimation
    Vision for graphics
    Deep learning
    Vision for robotics
    Cognitive and embodied vision
    Humanoid vision
 

III. Image, Speech, Signal and Video Processing

  • Image, Speech, Signal and Video Processing
    Image and video analysis and understanding
    Sensor array & multichannel signal processing
    Segmentation, features and descriptors
    Texture and color analysis
    Enhancement, restoration and filtering
    Coding, compression and super-resolution
    Facial expression recognition
    Affective computing
    Human computer interaction
    Human body motion and gesture based interaction
    Audio and acoustic processing and analysis
    Automatic speech and speaker recognition
    Spoken language processing
    Speech and natural language based interaction
    Group interaction: analysis of verbal and non-verbal communication
    Multimedia analysis, indexing and retrieval
    Depth & range sensor data processing and analysis


IV. Document Analysis, Biometrics and Pattern Recognition Applications

  • Character and Text Recognition
    Handwriting Recognition
    Graphics Recognition
    Document Understanding
    Behavior Analysis
    Mixed and Augmented Reality
    Biometrics: Face, Fingerprint, Iris, and Others
    Novel Biometrics
    Biometric Systems and Applications
    Forensic Biometrics
    Bioinformatics
    Surveillance and Security
    Search, Retrieval, and Visualization
    Art, Culture, and Entertainment
    Industrial Image Analysis
    Human-Computer Interaction
    Analysis of Humans
    Pattern and Digital Evidence
    Performance Enhancement
    Pattern Recognition in Big Data Applications
 

V. Biomedical Image Analysis and Applications

  • Medical image and signal analysis
    Biological image and signal analysis
    Modeling, simulation and visualization
    Computer-aided detection and diagnosis
    Image guidance and robot guidance of interventions
    Content based image retrieval and data mining
    Medical and biological imaging
    Segmentation of biomedical images
    Molecular and cellular image analysis
    Volumetric image analysis
    Deformable object tracking and registration
    Computational anatomy and digital human
    VR/AR in medical education, diagnosis and surgery
    Medical robotics
    Imaging and hardware for health care
    Brain-computer interfaces
    Data mining for biological databases
    Algorithms for molecular biology
    Deep learning for biomedical image analysis

VI. Artificial Intelligence and Cybersecurity

  • Machine Learning for Intrusion Detection
    Neural Network Security
    Adversarial Attacks
    Threat Intelligence
    Anomaly Detection
    Natural Language Processing in Cybersecurity
    AI-powered Malware Detection
    Behavioral Analysis
    Deep Learning for Cyber Threat Hunting
    Automated Security Incident Response
 

VII. Artificial Intelligence for Wireless Communications and Internet of Things

  • AI-based Resource Allocation
    IoT Device Security
    Wireless Network Optimization
    Edge Computing
    Intelligent Spectrum Management
    Cognitive Radio Networks
    Predictive Maintenance for IoT Devices
    AI-driven Energy Efficiency in Wireless Networks
    Smart Connectivity in IoT
    Machine Learning for Channel Estimation