Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Abstract: To address the problem of enormous differences in two heterogeneous images, the traditional unsupervised frameworks are most normally realized by converting two images into a common domain ...

Abstract: In this paper, we introduce a sequential autoencoder framework using long short term memory (LSTM) neural network for computer network intrusion detection. We exploit the dimensionality ...

Beyond firewalls and perimeter security, a zero trust architecture allows security officials to better protect data and system access to both outsider and insider threats, adopting a mantra of “trust ...

Working from home by day, gaming and streaming by night? Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested. I’ve been working ...

One of the happiest, most successful executives we know is a woman named Deb. She works at a major technology company and runs a global business unit that has more than 7,000 employees. When you ask ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as perceptrons or ...

We introduce MAESTRO, a tailored adaptation of the Masked Autoencoder (MAE) framework that effectively orchestrates the use of multimodal, multitemporal, and multispectral Earth Observation (EO) data.

Current state-of-the-art object-centric models use slots and attention-based routing for binding. However, this class of models has several conceptual limitations: the number of slots is hardwired; ...