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CALL FOR PAPER

ICIAAI conference is intended to foster the dissemination of state-of-the-art research in the area of Image, Algorithms and Artificial Intelligence and the fundamental interaction between them. Authors are invited to submit regular research papers on all related areas. Papers exploring new directions or areas will receive a thorough and encouraging review. Areas of interest include, but not limited to :

Image Processing and Analysis

  • Image Enhancement and Restoration

  • Image Segmentation and Feature Extraction

  • Image Compression and Coding

  • Image Filtering and Denoising

  • Image Fusion and Reconstruction

  • Edge Detection and Contour Analysis

  • Remote Sensing Image Processing

  • Hyperspectral and Multispectral Imaging

  • Image Quality Assessment and Optimization

  • 3D Image Processing and Visualization

Computer Vision and Pattern Recognition

  • Object Detection and Tracking

  • Face and Gesture Recognition

  • Scene Understanding and Reconstruction

  • Motion Analysis and Optical Flow

  • Visual SLAM and 3D Mapping

  • Video Analysis and Summarization

  • Human–Computer Vision Interaction

  • Biometric Recognition and Security

  • Vision-based Navigation and Control

  • Multimodal Vision Systems

Algorithms and Optimization

  • Machine Learning Algorithms and Frameworks

  • Deep Learning Architectures and Optimization

  • Evolutionary and Genetic Algorithms

  • Swarm Intelligence and Bio-inspired Computation

  • Reinforcement Learning and Decision Making

  • Computational Geometry and Topology

  • Sparse Representation and Compressive Sensing

  • Graph-based Algorithms and Applications

  • Real-time and Parallel Computing Algorithms

  • Quantum and Neuromorphic Algorithms

Artificial Intelligence Theory and Applications

  • Explainable and Trustworthy AI

  • Artificial General Intelligence (AGI)

  • Knowledge Representation and Reasoning

  • AI Ethics and Policy

  • Intelligent Agents and Multi-Agent Systems

  • Cognitive Computing and Brain-inspired AI

  • Fuzzy Logic and Expert Systems

  • AI for Edge and Cloud Computing

  • AI-driven Automation Systems

  • Human–AI Collaboration

Machine Learning and Data Mining

  • Supervised and Unsupervised Learning

  • Transfer and Federated Learning

  • Big Data Analytics and Visualization

  • Time Series Analysis and Forecasting

  • Data Mining for Social Networks

  • Anomaly and Outlier Detection

  • Feature Selection and Dimensionality Reduction

  • Ensemble Learning and Model Integration

  • Reinforcement Learning Applications

  • Data-Driven Decision Support Systems

Deep Learning and Neural Networks

  • Convolutional and Recurrent Neural Networks

  • Generative Adversarial Networks (GANs)

  • Transformer Models and Large Language Models (LLMs)

  • Self-supervised and Few-shot Learning

  • Neural Architecture Search (NAS)

  • Deep Reinforcement Learning

  • 3D Vision and Point Cloud Learning

  • Multimodal Deep Learning

  • Optimization and Regularization Techniques

  • Energy-efficient and Edge AI Models

Intelligent Systems and Applications

  • Smart Healthcare and Medical Imaging

  • Intelligent Transportation and Autonomous Driving

  • Smart Manufacturing and Robotics

  • AI in Education and Learning Systems

  • Intelligent Signal and Speech Processing

  • AI in Agriculture and Environmental Monitoring

  • FinTech and Intelligent Decision Systems

  • AI for Cybersecurity and Privacy

  • Intelligent Human–Machine Interfaces

  • AI for Sustainable and Green Technologies

Emerging Trends in Image and AI Technologies

  • Augmented, Virtual, and Mixed Reality (AR/VR/MR)

  • Metaverse and Digital Twin Technologies

  • 3D Vision and Holographic Imaging

  • Computational Photography and Imaging Sensors

  • Edge Intelligence and Embedded AI

  • AI for Internet of Things (AIoT)

  • Brain–Computer Interface (BCI) Technologies

  • Quantum Machine Learning

  • Ethics, Fairness, and Transparency in AI

  • Future Directions in Image and Algorithm Research

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