Abstract: In power systems, accurate load forecasting and analysis are essential for ensuring reliability and efficiency. This paper presents a novel approach to processing, simulating, and smoothing ...

For many organizations, particularly those with sensitive data, strict regulatory requirements, or mission-critical SLAs, ...

Phonons are sound particles or quantized vibrations of atoms in solid materials. The Debye model, a theory introduced by ...

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

The universe's expansion may actually have started to slow rather than accelerating at an ever-increasing rate as previously ...

Conclusions: Our study developed model IBE to predict the incidence of mumps in Yunnan province, offering a potential tool for early detection of mumps outbreaks. The performance of model IBE ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a deep learning model that can produce phase diagrams for ferroelectric ...

Cyber threats don’t just hit your systems — they move through your connections. The ULM shows how those hidden links fuel ...

Abstract: Current centralized systems for crowdsourced drone services face problems in maintaining data integrity, fairness in data exchanges, and efficient resource allocation. These issues are ...