The rapid expansion of digital infrastructure has heightened data security risks across sectors. Traditional assessment methods, often reliant on fragmented ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on single-modal encoding ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

CLEVELAND, OHIO (TheOBR.com) - Good morning, Cleveland Browns fans! A little bit of This n' That as we cruise through the week, hurtling headlong into the Browns' battle against the Detroit Lions on ...

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...

Smartphones aren’t just for calls and texts anymore; they’re how most Americans handle just about everything. As of 2023, over 91% of people in the U.S. own one, according to Pew, and the average ...

Accurate road surface classification is essential for enhancing travel time estimation in routing engines and supporting autonomous navigation systems. Recent advances in deep learning have enabled ...

Allen Park — Entering Year 5 with the Detroit Lions, Dan Campbell never has felt better about the state of his roster. But that strength in personnel has set the table for a number of difficult ...

The agency’s response to public records requests indicated potential violations of federal records laws, experts said. By Minho Kim Reporting from Washington The Department of Homeland Security ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Mitra departs from the norm by being pretrained exclusively on synthetic data. Rather than relying on the limited and heterogeneous nature of real-world tabular datasets, Amazon researchers engineered ...