Results 211 to 220 of about 7,408,822 (366)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Shifting Goals in Aesthetic Rhinoplasty: Eurocentric Ideals, Ethnic Background, and Cultural Identity. [PDF]

Plast Reconstr Surg Glob Open
Atiyeh B, Chrabieh E, Omaish H, Chalhoub R, Emsieh S.   +4 more
europepmc   +1 more source

z-Ideals and prime ideals

Journal of Algebra, 1973
openaire   +2 more sources

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Dynamic mortality predictions from serum albumin in dialysis patients using robust joint models with competing risks. [PDF]

Sci Rep
Damgov I, Kieser M, Rutherford P, Davies SJ, Wong MG, Pollock C, Johnson DW, Schmitt CP.   +7 more
europepmc   +1 more source

AN IDEAL PROGRAM FOR CHILD HYGIENE

, 1920
Allan J. McLaughlin
openalex   +2 more sources

Ideal Marriage: its Physiology and Technique [PDF]

, 1929
Bazarbayeva Z.M.
openalex   +1 more source

An Ideal Molecular Sieve for Acetylene Removal from Ethylene with Record Selectivity and Productivity

Advances in Materials, 2017
Bin Li, Xili Cui, Daniel O’Nolan, Hui Wen, Mengdie Jiang, R. Krishna, Hui Wu, Rui‐Biao Lin, Yu‐Sheng Chen, Daqiang Yuan, Huabin Xing, Wei Zhou, Qilong Ren, G. Qian, M. Zaworotko, Banglin Chen   +15 more
semanticscholar   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

The German Version of the Treatment Expectations in Chronic Pain Scale: A Cross-Sectional Validation Study. [PDF]

Pain Res Manag
Rottstädt F, Croy I, Kahle L, Ramisch K, Meissner W.   +4 more
europepmc   +1 more source