One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...

Abstract: Airborne object detection and classification play an important role in applications like military surveillance, border security, and public safety. The ability to accurately distinguish ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Anthropic is pushing into the healthcare market as it launches artificial intelligence tools and resources purpose-built for ...

Abstract: Wireless communication is essential to people's daily lives and jobs. In the development of cognitive radios, automatic modulation classification (AMC) is a crucial and necessary topic.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...