Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...

The problem of "Out-of-Distribution" (OOD) is central here. Think of AI as a driver who knows only known roads. So, faced with an unknown path, it forces entry into its existing maps rather than ...

That’s the job of generative engine optimization (GEO) — and in 2026, it’s no longer optional. This guide shows you how to build, execute, and measure a GEO strategy that actually works. What is GEO — ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

Abstract: In this paper, we investigate the distributed optimization problem for heterogeneous linear multi-agent systems with unknown disturbances. To solve this problem, we propose a distributed ...

Moving heavy materials through cutting, polishing and coating stages requires precise balancing of load capacity and motion speed. Here’s how the right linear guidance selection and configuration can ...