Bank credit risk is a significant challenge in modern financial transactions, and the ability to
identify qualified credit card holders among a large number of applicants is crucial for the …

Task-oriented object detection aims to find objects suitable for accomplishing specific tasks.
As a challenging task, it requires simultaneous visual data processing and reasoning under …

As artificial intelligence (AI) theory becomes more sophisticated and its utilization spreads
across daily life, education, and professional settings, the adoption of AI for medical …

Applications in the Internet of Things (IoT) utilize machine learning (ML) to analyze sensor-
generated data. However, a major challenge lies in the lack of targeted intelligence in …

Stock trading has always been a key economic indicator in modern society and a primary
source of profit for financial giants such as investment banks, quantitative trading firms, and …

Human pose estimation (HPE) is crucial for various applications. However, deploying HPE
algorithms in surveillance contexts raises significant privacy concerns due to the potential …

Credit scores are crucial these days for getting approved for a mortgage, assessing
business loans, and managing customer finances. A bank's ability to accurately judge …

Neuro-symbolic Artificial Intelligence (AI) models, blending neural networks with symbolic AI,
have facilitated transparent reasoning and context understanding without the need for …

Detecting marine objects inshore presents challenges owing to algorithmic intricacies and
complexities in system deployment. We propose a difficulty-aware edge-cloud collaborative …