Results 211 to 220 of about 1,782,050 (353)

Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises. [PDF]

Sci Rep
Yin X, Zhang X, Pei L, Hu R, Ye K, Cai K.   +5 more
europepmc   +1 more source

Exploring patients’ profiles associated with the resolution of acute calcium pyrophosphate arthritis treatedwith colchicine and prednisone: post hoc analysis of a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Mid-Term Management of Operating Room Equipment: Improving Surgical Quality. [PDF]

Med Devices (Auckl)
Dai Y, Xu Y, Zhang Y, Wang K.
europepmc   +1 more source

A Bi-Population Co-Evolutionary Multi-Objective Optimization Algorithm for Production Scheduling Problems in a Metal Heat Treatment Process with Time Window Constraints

Jiahui Gu, Bo-Heng Liu, Ziyan Zhao
openalex   +1 more source

Implications of Cyber-Physical Production Systems on Integrated Process Planning and Scheduling

, 2019
Hermann Meissner, Jan C. Aurich
openalex   +1 more source

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

An Exergy-Enhanced Improved IGDT-Based Optimal Scheduling Model for Electricity-Hydrogen Urban Integrated Energy Systems. [PDF]

Entropy (Basel)
Xie M, Qing L, Ye JN, Lu YX.
europepmc   +1 more source

System Optimization Scheduling Considering the Full Process of Electrolytic Aluminum Production and the Integration of Thermal Power and Energy Storage

Yulong Yang, Yan Han, Jiaqi Wang, Weiyang Liu, Zhongwen Yan   +4 more
openalex   +1 more source

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

A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking. [PDF]

Sensors (Basel)
Wang C, Lin Z, Zhao Y, Hu F, Huan Z.
europepmc   +1 more source