New research from FIU shows that some visual-language AI models have become particularly susceptible to image-based hacks.

It may look like a picture of a panda bear to you, but to your business's AI agent, it can act like a skeleton key, bypassing ...

Abstract: Classical thresholding techniques, though effective for binary image thresholding, become computationally expensive when extended to multilevel scenarios. Metaheuristic optimization ...

Apps that record visits are becoming popular, but they come with privacy and accuracy concerns. By Simar Bajaj At your next appointment, your doctor may have a new kind of assistant listening in: ...

Contrast enhancement technique is a prevalent problem in aiding interpretation of Magnetic Resonance Imaging (MRI) images. A low contrast MRI image may prove to be problematic in identifying medical ...

Facility allocation plays a crucial role in modern urban planning and design. However, the allocation of various facilities in a reasonable manner is a complex problem involving high-dimensional multi ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

Abstract: In this paper a method for fault reconfiguration within shipboard microgrids is introduced using a model-based optimization approach based on genetic algorithms. The optimization uses a ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

When applying machine learning to financial markets most quantitative research focus on optimization algorithms for user defined features. This approach raises two issues. One is that the user needs ...