For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

Abstract: Infrared small target detection has been extensively studied due to its wide range of applications. Most studies treat infrared small target detection as an independent task, either as a ...

We developed a deep learning model incorporating contrastive pretraining with triplet margin loss to stabilise user-specific behavioural patterns, followed by supervised fine-tuning for binary ...

Abstract: Water body extraction, a critical task in environmental monitoring and resource management, has gained extensive research and application in recent years through the use of remote sensing ...

Like many university instructors, Steven Jackson knows his way around a lecture hall. The rows of seating, the balcony above, the lectern centered carefully at the front — all part of the traditional ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

Cybersecurity researchers have disclosed details of a stealthy Python-based backdoor framework called DEEP#DOOR that comes with capabilities to establish persistent access and harvest a wide range of ...

Before his company’s epic bankruptcy, Ryan Kavanaugh pitched Hollywood that he could predict box office winners with his “Monte Carlo” algorithm. We all know how that turned out, but that hasn’t ...