Artificial Intelligence Advances publishes original research papers that offers professional review and publication to freely disseminate research findings in all areas of Basic and Applied Computational Intelligence including Cognitive Aspects of Artificial Intelligence (AI), Constraint Processing, High–Level Computer Vision, Common Sense Reasoning and more. The Journal focuses on innovations of research methods at all stages and is committed to providing theoretical and practical experience for all those who are involved in these fields.
Artificial Intelligence Advances aims to discover innovative methods, theories and studies in its field by publishing original articles, case studies and comprehensive reviews.
The scope of the papers in this journal includes, but is not limited to:
970 (Abstract)
409 (Download)Abstract: Pensions are fundamental to financial security in retirement, especially in the U.S., where they play a critical role in ensuring stability for retirees and fostering broader economic benefits. However, predicting pension coverage trends poses significant challenges due to the complexity of labor markets, demographic shifts, and economic variabilities. Traditional statistical models, though foundational, often fail to handle the nonlinear... More
818 (Abstract)
667 (Download)Abstract: Real-time personalized ad recommendation systems are crucial for enhancing user engagement and satisfaction. To address the challenge of delivering highly relevant ads in a dynamic, large-scale environment, this paper proposes a novel approach that integrates real-time user behavior analysis with advanced time series modeling and stream processing techniques. Specifically, the system leverages Long Short-Term Memory (LSTM) networks to capture... More
