Results 61 to 70 of about 12,439,104 (289)

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

Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method [PDF]

Nonlinear Processes in Geophysics, 2016
The ensemble Kalman smoother (EnKS) is used as a linear least-squares solver in the Gauss–Newton method for the large nonlinear least-squares system in incremental 4DVAR.
J. Mandel, E. Bergou, S. Gürol, S. Gratton, I. Kasanický   +4 more
doaj   +1 more source

A quasi-Newton modified LP-Newton method [PDF]

, 2017
We consider a method to solve constrained system of nonlinear equations based on a modification of the Linear-Programming-Newton method and replacing the first-order information with a quasi-Newton secant update, providing a computationally simple method.
Fernández Ferreyra, Damián Roberto, Martinez Arraigada, Maria de Los Angeles, Damián Fernández, María de los Ángeles Martínez   +3 more
core   +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 Space-Time Absolute Nodal Coordinate Formulation Cable Element and the Study of Its Accuracy and Efficiency

Machines, 2023
In this paper, a space-time absolute nodal coordinate formulation cable (SAC) element forming technique based on the Lagrange family of shape functions is proposed.
Dekun Chen, Kun Li, Nianli Lu, Peng Lan
doaj   +1 more source

A Sparse Quasi-Newton Method Based on Automatic Differentiation for Solving Unconstrained Optimization Problems

, 2021
In our paper, we introduce a sparse and symmetric matrix completion quasi-Newton model using automatic differentiation, for solving unconstrained optimization problems where the sparse structure of the Hessian is available.
Huiping Cao, Xiaomin An
core   +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

Partitioned Quasi-Newton Approximation for Direct Collocation Methods and Its Application to the Fuel-Optimal Control of a Diesel Engine

Journal of Applied Mathematics, 2014
The numerical solution of optimal control problems by direct collocation is a widely used approach. Quasi-Newton approximations of the Hessian of the Lagrangian of the resulting nonlinear program are also common practice.
Jonas Asprion, Oscar Chinellato, Lino Guzzella   +2 more
doaj   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Multiscale Analysis of Amine‐Containing CO2 Capture Membrane via Dissipative Particle Dynamics Simulations Using Ab Initio Elongation Method‐Based Parameters

Carbon Energy, EarlyView.
Elongation (ELG) method for calculating the electronic structures of aperiodic polymers was combined with dissipative particle dynamics (DPD) simulation to perform more reliable simulations using quantum chemistry (QC)‐based parameters. The method was employed to analyze phase separation in an amine‐containing CO2 capture membrane, and the results ...
Yuuichi Orimoto, Yuriko Aoki
wiley   +1 more source