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 …

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 …

Training deep neural networks (DNNs) with large-scale datasets poses considerable
challenges due to the computational complexity stemming from the vast number of samples …

Integrating deep learning with Reinforcement Learning (RL) results in algorithms that
achieve human-like learning in complex yet unknown environments via a process of trial …

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

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 …