Latest Articles for Stability

A method to improve machine learning models' knowledge retention during new task training.

Exploring advancements in superconductors and their potential for future technologies.

Explore the role of Yang-Mills connections in stability and geometry.

Examining polynomial maps and their crucial roles in various fields of study.

Fmm LuHN shows promise for superconductivity at near-room temperatures.

AI tools improve predictions on protein stability related to mutations.

Understanding source locations through wave measurements revolutionizes various scientific fields.

BEATLE showcases the potential of self-reconfigurable aerial robots in various fields.

Research focuses on neutron star stability post-merger and its impact on cosmic signals.

This article examines the links between complex dynamics and tropical geometry.

Examining water flow patterns over various surface shapes.

New research explores saxions and axions in cosmic acceleration.

T-Explainer offers reliable insights into machine learning model predictions.

A method for agents to maintain shapes with minimal communication.

A new approach improves electricity grid management using target topologies and deep learning.

Exploring how attractive and repulsive connections shape cluster synchronization in networks.

Discover the exciting connections in geometry and algebra through Higgs bundles.

Research investigates genetic changes in H5 influenza and their potential human impact.

Researchers explore the existence of additional characteristics in black holes.

Exploring oscillons and their significance in various physical systems.

Exploring the link between chaotic dynamics and electrical systems for better designs.

New fluorescent proteins enhance visibility in biological research.

Exploring the fascinating characteristics and significance of boson stars in physics.

A look at the behavior and stability of vortex filaments in various fluids.

A look at how fluids behave under small changes in porous media and Stokes systems.

A look into the stability and types of bosonic stars in astrophysics.

Reward centering boosts the effectiveness of reinforcement learning algorithms.

A new method uses data to stabilize fluid flow past a cylinder.

A method for stabilizing the Kuramoto-Sivashinsky equation under limited measurement conditions.

Learn how to tackle time-dependent equations using decomposition and composition techniques.

A new method improves personalized image generation using existing AI models.

Study confirms diluted treprostinil remains stable for 76 hours in pump cassettes.

Axions might explain dark matter, offering insights into the universe's formation.

Exploring how degrade-and-fire oscillators synchronize in biological systems.

Exploring the interaction of curves with scalar quantities and their movement.

A framework to improve stability in power systems using renewable energy sources.

Examining stability, causality, and fluid behavior in extreme conditions.

New methods improve stability of control systems under uncertain conditions.

Learn how Transfer Entropy enhances Convolutional Neural Networks training and performance.

A novel approach to managing interconnected nonlinear systems for improved stability and performance.