Results 181 to 190 of about 19,953 (297)

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Nonmonotone Curvilinear Line Search Methods for Unconstrained Optimization

, 1995
We present a new algorithmic framework for solving unconstrained minimization problems that incorporates a curvilinear linesearch. The search direction used in our framework is a combination of an approximate Newton direction and a direction of negative ...
ROMA, Massimo, FERRIS M. C., LUCIDI, Stefano, S. Lucidi, M. Roma, M. C. Ferris   +5 more
core  

Fully‐Constrained Variable Projection for Water‐Fat Models

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter, Jonathan Stelter, Louis Peyratoux, Dimitrios C. Karampinos, Oliver Bieri   +4 more
wiley   +1 more source

Advancing AMD Detection: Dataset Design and Deep Learning Optimization for Unconstrained Retinal Images. [PDF]

Vision (Basel)
Fathee HN, Babayev R, Sahmoud S, Ağaoğlu N.   +3 more
europepmc   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization. [PDF]

Front Robot AI
Abdelkarim A, Görges D, Voos H.
europepmc   +1 more source

Vibration Attenuation of Cantilever Beam Using Electromagnetic Delayed Feedback

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study presents a combined analytical and numerical investigation of a single‐input single‐output delayed feedback controller designed to suppress vibrations in a cantilever beam actuated by an electromagnet positioned beneath its free end. An analytical model was developed using the linearized equation of motion for a transversely excited
Mohammad Alabdullah, Khaled Alhazza
wiley   +1 more source

S-shaped Utility Maximization with VaR Constraint and Partial Information. [PDF]

J Optim Theory Appl
Zhu D, Davey A, Zheng H.
europepmc   +1 more source

A Hybrid Rule‐Based and Large Language Model Artificial Intelligence System for Electrodiagnostic Reporting: Two‐Center Retrospective Evaluation

Muscle &Nerve, EarlyView.
ABSTRACT Introduction/Aims Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting is heterogeneous across laboratories and often requires time‐consuming documentation. We aimed to evaluate a hybrid rule‐based and constrained large language model (LLM) system that drafts EDX ...
Yesung Jung, Min Kyun Sohn, Ja Young Choi, Kang Hee Cho   +3 more
wiley   +1 more source

A novel adaptive quasi-Newton-type update and its global convergence without Lipschitz condition for constrained system of nonlinear monotone equations. [PDF]

PLoS One
Ahmed K, Semary HE, Al-Moisheer AS, Ibrahim SM, Halilu AS, Waziri MY, Mohamed MA, Murtala S.   +7 more
europepmc   +1 more source