Results 121 to 130 of about 18,755 (251)

On the evaluation complexity of constrained nonlinear least-squares and general constrained nonlinear optimization using second-order methods [PDF]

, 2013
Gould NIM, Gould, Nicholas I. M., Cartis, Coralia, Cartis C, Toint, Philippe L., Toint PL   +5 more
core  

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

Performance of Hybrid Methods for Large-Scale

, 2007
Energy minimization plays an important role in structure determination and analysis of proteins, peptides, and other organic molecules; therefore, development of efficient minimization algorithms is important.
B. Das, I. M. Navon, Unconstrained Optimization As, H. Meirovitch   +3 more
core  

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

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

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  

A Hybrid Rule‐Based and Large Language Model Artificial Intelligence Systems 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

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

An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization. [PDF]

Comput Intell Neurosci, 2015
Yang ZL, Wu A, Min HQ.
europepmc   +1 more source

Manufacturability‐Aware Multi‐Objective Screening of Filament‐Wound Type IV Pressure‐Vessel Cylindrical Sections Using Dual‐Pressure Hashin Constraints

Polymer Composites, EarlyView.
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley   +1 more source