Results 71 to 80 of about 12,439,103 (299)

Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing

Advanced Intelligent Systems, EarlyView.
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti   +9 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

Shape Sensing, Mapping, and Obstacle Avoidance of the Continuum Manipulator in Confined Environments

Advanced Intelligent Systems, EarlyView.
An integrated sensing framework combines capacitive sensors, IMU, and laser array sensor. The shape reconstruction is finished by backpropagation neural network. Accurate shape estimation (relative error of 1.04%) is maintained under a 110 g tip load, while a miniaturized VL6180X array enables local environmental reconstruction and reactive obstacle ...
Pengyuan Wang, Shi Qiao, Zhaoye Dong, Yuxuan Wang, Runte Song, Fengguang Jia, Shu Wang, Yongchang Zhang, Zhiguang Xing, Jianwen Zhao   +9 more
wiley   +1 more source

A Semismooth Newton-Based Augmented Lagrangian Algorithm for the Generalized Convex Nearly Isotonic Regression Problem

Mathematics
The generalized convex nearly isotonic regression problem addresses a least squares regression model that incorporates both sparsity and monotonicity constraints on the regression coefficients.
Yanmei Xu, Lanyu Lin, Yong-Jin Liu
doaj   +1 more source

GMRES based numerical simulation and parallel implementation of multicomponent multiphase flow in porous media

Cogent Engineering, 2020
This article considered the numerical simulation of multicomponent multiphase flow in porous media. The resulting system of nonlinear equations linearized by the Newton-Raphson method and solved with the iterative Generalized minimal residual method ...
Saltanbek T. Mukhambetzhanov, Danil V. Lebedev, Nurislam M. Kassymbek, Timur S. Imankulov, Bazargul Matkerim, Darkhan Zh. Akhmed-Zaki   +5 more
doaj   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Gradient descent with generalized Newton's method

Accepted to ICLR ...
Zhiqi Bu, Shiyun Xu
openaire   +3 more sources

A Generalized Newton Method for Homogenization of Hamilton--Jacobi Equations

SIAM Journal on Scientific Computing, 2016
We propose a new approach to the numerical solution of cell problems arising in the homogenization of Hamilton--Jacobi equations. It is based on a Newton-like method for solving inconsistent systems of nonlinear equations, coming from the discretization of the corresponding cell problems.
CACACE, SIMONE, CAMILLI, FABIO
openaire   +2 more sources

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Postoperative Supraspinatus Muscle Volume Restoration Is Associated With Tendon Healing and Strength Recovery After Rotator Cuff Repair: Deep‐Learning‐Based Volumetric Analysis of the Entire Muscle With Clinical Correlation

Arthroscopy, EarlyView.
Purpose To quantify supraspinatus muscle volume (SPV) change after rotator cuff repair using deep‐learning‐based segmentation of full‐coverage magnetic resonance imaging and evaluate its associations with clinical, radiologic parameters, and retears. Methods This retrospective study analyzed rotator cuff repair patients with a minimum 2‐year follow‐up,
Yong Tae Kim, Hye Jin Yoo, Sang Yun Oh, Sae Hoon Kim   +3 more
wiley   +1 more source