AAIA 2024 is the premier international forum for the presentation of new advances and research results in the fields of Artificial Intelligence and Applications. High-quality original submissions are welcome from research results and applications of all areas of AI including but not limited to the following areas:

Topic 1: Machine Learning and Deep Learning
1. New machine learning algorithms or techniques
-Innovative machine learning algorithms and advancements in existing methods.
-Development of novel techniques for model training and evaluation.
-Improvements in algorithm efficiency and scalability.

2. Deep neural network architectures and optimizations
-Research on new neural network architectures like transformers, graph neural networks, etc.
-Optimizing deep learning models for better performance and faster training.
-Techniques for enhancing model interpretability and transparency.

3. Applications of deep learning in computer vision, natural language processing, etc.
-Application of deep learning models in image and video analysis.
-Utilizing deep learning for natural language understanding and generation.
-Exploring deep learning applications in healthcare, finance, and other industries.

Topic 2: Computer Vision and Pattern Recognition
1. Image and video processing
-Techniques for object detection, recognition, and segmentation.
-Advances in video analysis, including action recognition and event detection.
-Methods for image enhancement, restoration, and super-resolution.

2. Visual generation and transformation
-Research on generative models like GANs for image and video generation.
-Techniques for style transfer and image-to-image translation.
-3D vision and reconstruction methods from 2D images.

3. Applications in various fields
-Computer vision applications in autonomous driving, including lane detection and obstacle recognition.
-Use of computer vision in healthcare for medical image analysis and diagnostics.
-Implementation of facial recognition and biometrics for security and authentication.


All submitted papers are subject to initial evaluation by the AAIA committee and then sent for a peer review.