Results 121 to 130 of about 167,650 (307)

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
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, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Relationship between noise levels and RMSE.

, 2014
This chart shows the RMSE values for inferred transition matrices of n-39 network under 6 perturbations at different noise levels. The standard deviations of noises vary from 10 to 1. In Step 2, the RMSE values range from to ; in Step 3, the RMSE values
Ian Adcock (486486), Yike Guo (547679), Xian Yang (584213), Lei Nie (556344), Zhiwei Xu (294494)   +4 more
core   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Leveraging Artificial Intelligence for Cyanobacterial Bloom Prediction: A Hybrid Deep Learning and Generative Adversarial Network Framework for Accurate Forecasting and Proactive Management

Foundations of Computing and Decision Sciences
This study presents an Artificial Intelligence-based system designed to predict cyanobacterial harmful algal blooms (CyanoHABs). The system utilizes Long Short-Term Memory (LSTM) networks to predict the timing of bloom occurrences and One-Dimensional ...
Dendani Nadjette, Saoudi Amel, Amara Nour Djihane, Azizi Nabiha, Dugdale Julie, Hadiby Rayenne   +5 more
doaj   +1 more source

R.D. Caroli Musitani ... Opera omnia seu trutina medica, chirurgica, pharmaceutico chymica ... Tomus secundus [PDF]

Antep.Texto a dos columnasMención de edición precede a Tomus secundusCCPB000182791-XIT/ICCU/RMSE/007099Piel233463-30-33C-002-004(a)-(b)4, A-Z6, Aa-Vv6, Xx4, a ...
Musitano, Carlo, 1635-1714
core  

On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy

Advanced Science, EarlyView.
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley   +1 more source

EXPLORATION AND ANALYSIS OF TIME SERIES MODELS FOR INTELLIGENT TRAFFIC MANAGEMENT SYSTEM [PDF]

Proceedings on Engineering Sciences
Traffic flow prediction is a research topic signified by several researchers in a league span of disciplines. Traffic flow prediction is an important aspect in Intelligent Transport Management System (ITMS).
Nivedita Tiwari , Lalji Prasad
doaj   +1 more source

Alternative Approaches to Estimation and Inference in Large Multifactor Panels: Small Sample Results with an Application to Modelling of Asset Returns [PDF]

This paper considers alternative approaches to the analysis of large panel data models in the presence of error cross section dependence. A popular method for modelling such dependence uses a factor error structure.
George Kapetanios, M. Hashem Pesaran
core  

RMSE for the biased diffusion test problem.

, 2013
The root mean-square error of the simulation output is calculated relative to the analytic solution, with and at . The solid curves indicate results from simulations which were done with transition probabilities computed from the FPT. The dashed curves,
Bernd Meyer (311901), Matthias Vigelius (311900)   +1 more
core   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source