Results 61 to 70 of about 249,549 (273)
Systematic Exploration of 3D Concrete Printing Parameters for Conformal Printing on Sloped Surfaces
A conformal slicing algorithm is developed for robotic 3D concrete printing (3DCP) on sloped surfaces as a first step toward printing slab‐on‐grade foundations on uneven terrain. Systematic experiments quantify the effects of nozzle speed, extrusion rate, and toolpath direction on filament dimension and stability.
Paniz Farrokhsiar +2 more
wiley +1 more source
Reduction of global interference in functional multidistance near-infrared spectroscopy using empirical mode decomposition and recursive least squares: a Monte Carlo study [PDF]
Functional near-infrared spectroscopy (fNIRS) is a sensitive technique that has the potential to detect haemodynamic changes during the performance of specific activation tasks.
Zhang Y., Sun J., Rolfe P.
doaj +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
The recursive Green's function method for graphene
We describe how to apply the recursive Green's function method to the computation of electronic transport properties of graphene sheets and nanoribbons in the linear response regime.
Lewenkopf, Caio H., Mucciolo, Eduardo R.
core +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Nonlinear model predictive control (NMPC) delivers high tracking accuracy for industrial processes but requires solving a nonlinear program at each sampling instant, limiting its applicability under tight real-time constraints.
Zhihao Zeng, Hao Wang, Yahui Shan
doaj +1 more source
Learning Time-Varying Graphs From Online Data
This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the framework renders it model-independent, i.e., it can be theoretically analyzed in its abstract formulation and then instantiated ...
Alberto Natali +3 more
doaj +1 more source
State machines for large scale computer software and systems
A method for specifying the behavior and architecture of discrete state systems such as digital electronic devices and software using deterministic state machines and automata products.
Yodaiken, Victor
core
Recent experimental progress has made it possible to detect in real-time single electrons tunneling through Coulomb blockade nanostructures, thereby allowing for precise measurements of the statistical distribution of the number of transferred charges ...
Braggio, Alessandro +3 more
core +1 more source
Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley +1 more source

