We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community byEScholar: Electronic Academic Papers for Scholars@escholar byEScholar: ...

The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally ...

The data show that a separation between circular and linear plasmid DNA is possible and the performed linearization can be monitored using SEC-HPLC. Join the global community of analytical scientists ...

Add a description, image, and links to the power-flow-approximation topic page so that developers can more easily learn about it.

Accurately modeling nonlinear dynamical systems using observable data remains a significant challenge across various fields such as fluid dynamics, climate science, and mechanical engineering.

In algorithms of nonlinear Kalman filter, the so-called extended Kalman filter algorithm actually uses first-order Taylor expansion approach to transform a nonlinear system into a linear system. It is ...

Awhile back I published a simple design idea for a thermal airspeed sensor based on a self-heated Darlington transistor pair. The resulting sensor is simple, sensitive, and solid-state, but suffers ...

Leveraging a roster of innovative technical upgrades, the GEN3 Evo unveiled at H.S.H Prince Albert II’s Private Car Collection will debut in Season 11 of the ABB FIA Formula E World Championship.

Abstract: Linearization of nonlinear power flow equation is of great significance to power system analysis because it can reduce computational burden and guarantee theoretical convergence, the ...