Study on a Process Parameter-Driven Deep Learning Prediction Model for Multi-Physical Fields in Flange Shaft Welding. [PDF]
Yang C, Xu Z, Shi F, Liu K, Cao P.
europepmc +1 more source
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang +7 more
wiley +1 more source
Strict Time-Resolved Steady States via Affine-Eigenstate Mapping: A Robust Framework for Ultracold Atom-Molecule Dynamics. [PDF]
Chen Y, Du G, Yang C, Dai S, Cui B.
europepmc +1 more source
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
Efficient and robust temporal processing with neural oscillations modulated spiking neural networks. [PDF]
Yan Y +7 more
europepmc +1 more source
Breathing in Plants and Chaos—Cosmic Tree Events in Cameroon and Beyond
ABSTRACT Contemporary practices of tapping into the wisdom of ancestral trees are described through three entangled recent events lived within the context of Bantu practices in Cameroon. In the three instances, the steered or chance encounters with high potency trees were serendipitous telling moments which brought something new to the horizon.
Julie Laplante +3 more
wiley +1 more source
Simulation study on prescribed-time stabilization of 5-DOF exoskeletons using a regularized super-twisting approach. [PDF]
Moradi E, Labbaf Khaniki MA, Amiri S.
europepmc +1 more source
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
The cocktail method: influence of microbubble shell homogeneity on acoustic behavior and stability.
Poc P +10 more
europepmc +1 more source
Machine learning approaches for resource management and forecasting in energy consumption systems. [PDF]
Asghari HM, Ghaffari A.
europepmc +1 more source

