Results 51 to 60 of about 13,500,255 (277)

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

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

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

An Approximate Quasi-Newton Bundle-Type Method for Nonsmooth Optimization

Abstract and Applied Analysis, 2013
An implementable algorithm for solving a nonsmooth convex optimization problem is proposed by combining Moreau-Yosida regularization and bundle and quasi-Newton ideas. In contrast with quasi-Newton bundle methods of Mifflin et al.
Jie Shen, Li-Ping Pang, Dan Li
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

Nonlinear structural dynamics via Newton and quasi-Newton methods [PDF]

, 2019
This paper is an attempt to compare Newton and quasi-Newton methods in nonlinear structural dynamics. After a review of the classical iterative methods, several quasi-Newton updates are presented and tested.
Geradin, M., Hogge, M., Idelsohn, Sergio
core  

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

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

Chemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke, Sebastian Blauth, Christian Leithäuser, Thomas Grützner   +3 more
wiley   +1 more source

Local Analysis of Inexact Quasi-Newton Methods [PDF]

, 1982
Quasi-Newton methods are well known iterative methods for solving nonlinear problems. At each stage, a system of linear equations has to be solved. However, for large scale problems, solving the linear system of equations can be expensive and may not be
Eisenstat, Stanley C., Steihaug, Trond
core  

Diagonal quasi-Newton updating formula using log-determinant norm [PDF]

, 2015
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popularity of this method is due to the fact that only the gradient of the objective function is required at each iterate. Since second derivatives (Hessian) are
Siti Nur Iqmal Ibrahim, Sim, Hong Seng, Hong Seng Sim, Chuei Yee Chen, Ibrahim, Siti Nur Iqmal, Wah June Leong, Leong, Wah June, Chen, Chuei Yee   +7 more
core   +1 more source