Results 141 to 150 of about 201,886 (307)

TacVerse: A Multisensor Dataset and Benchmark for Cross‐Sensor Vision‐Based Tactile Perception

Advanced Robotics Research, EarlyView.
TacVerse provides a controlled benchmark of 106 800 tactile images from seven vision‐based tactile sensors across shape classification, grating classification, and force regression. Direct cross‐sensor transfer reveals substantial sensor‐shift degradation, with grating and force perception more affected than shape recognition.
Lan Wei, Gurmeher Khurana, Sirine Bhouri, Wenhao Hong, Zeyuan Xin, Qingzheng Cong, Wen Fan, Yanzheng Xiang, Dandan Zhang   +8 more
wiley   +1 more source

Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System [PDF]

Journal of Advances in Computer Engineering and Technology, 2019
This paper employs Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict water level that leads to flood in coastal areas. ANFIS combines the verbal power of fuzzy logic and numerical power of neural network for its action.
OLATUNJI ADIGUN, OLUSOLA OYEDELE
doaj  

Comparison between RMSE indexes derived from HP and QT series.

, 2014
RMSE mean (plus standard deviation) assessed at short time scale (i.e. τ = 1), RMSEτ = 1 (a,d,g), at medium time scales (i.e. τ = 2–4), RMSEτ = 2–4 (b,e,h), and at long time scales (i.e. τ = 5–12), RMSEτ = 5–12, (c,f,i) is shown as a function of the time
Giulia Girardengo (547642), José F. Valencia (547640), Andrea Marchi (526501), Vlasta Bari (526500), Peter J. Schwartz (547646), Tito Bassani (526502), Alfred L. George Jr (203058), Pere Caminal (547643), Lia Crotti (547645), Sergio Cerutti (90931), Montserrat Vallverdú (547641), Paul A. Brink (547644), Alberto Porta (223657)   +12 more
core   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

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

Hyperparameter-Optimized Gradient Boosting for Daily Rainfall Prediction Using BMKG Meteorological Data in Malang Regency, Indonesia

Jambura Journal of Mathematics
Weather conditions significantly affect many aspects of modern life, including transportation, tourism, agriculture, and disaster risk management, particularly in relation to rainfall.
Mohamad Arif Abdul Syukur, Suhartono Suhartono, Mochamad Imamudin   +2 more
doaj   +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

A Strategy for Using Bias and RMSE as Outcomes in Monte Carlo Studies in Statistics

Journal of Modern Applied Statistical Methods, 2019
To help ensure important patterns of bias and accuracy are detected in Monte Carlo studies in statistics this paper proposes conditioning bias and root mean square error (RMSE) measures on estimated Type I and Type II error rates. A small Monte Carlo study is used to illustrate this argument.
openaire   +2 more sources

RMSE of Three Estimators for , and .

, 2014
In the upper panel are RMSEs for ; whereas in the lower panel are RMSEs for . In each of the eight blocks, the minima of RMSE with respect to , and are highlighted in bold font in a rowwise manner.RMSE of Three Estimators for , and .
Yun Zhang (131894), Weichao Xu (660016), Rubao Ma (660015), Zhongfu Ye (660017)   +3 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