Results 51 to 60 of about 24,658 (179)

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Spectral Efficiency of Full-Duplex Multi-user System: Beamforming Design, User Grouping, and Time Allocation

IEEE Access, 2017
Full-duplex (FD) systems have emerged as an essential enabling technology to further increase the data rate of wireless communication systems. The key idea of FD is to serve multiple users over the same bandwidth with a base station (BS) that can ...
Van-Dinh Nguyen, Hieu V. Nguyen, Chuyen T. Nguyen, Oh-Soon Shin   +3 more
doaj   +1 more source

Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization [PDF]

, 2013
In this paper, we present a new stochastic algorithm, namely the stochastic block mirror descent (SBMD) method for solving large-scale nonsmooth and stochastic optimization problems. The basic idea of this algorithm is to incorporate the block-coordinate
Dang, Cong D., Lan, Guanghui
core  

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

A feasible path-based branch and bound algorithm for strongly nonconvex MINLP problems

Frontiers in Chemical Engineering, 2022
In this paper, a feasible path-based branch and bound (B&B) algorithm is proposed to solve mixed-integer nonlinear programming problems with highly nonconvex nature through integration of the previously proposed hybrid feasible-path optimisation ...
Chao Liu, Yingjie Ma, Dongda Zhang, Jie Li   +3 more
doaj   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Projection Methods: Swiss Army Knives for Solving Feasibility and Best Approximation Problems with Halfspaces [PDF]

, 2013
We model a problem motivated by road design as a feasibility problem. Projections onto the constraint sets are obtained, and projection methods for solving the feasibility problem are studied. We present results of numerical experiments which demonstrate
Bauschke, Heinz H., Koch, Valentin R.
core  

A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu, Ruoxiao Liu, Wenxin Li, Zhenming Su, Long Jin   +4 more
wiley   +1 more source

Adaptive Hybrid Chance‐Constrained SOCP‐Based ACOPF for Coordinated Optimisation of Integrated Energy Systems

IET Smart Energy Systems, EarlyView.
An adaptive chance‐constrained hybrid SOCP‐Based ACOPF for coordinated optimisation of integrated source–grid–load–storage systems is presented. The coordinated optimisation of integrated source–grid–load–storage (SGLS) systems is challenged by renewable energy uncertainty, complex industrial load characteristics and stringent policy constraints ...
Mingyue He, Zhengxiang Song, Jun Yang, Shaohua Zhang, Ya Mou, Zhongxia Zhang, Jiaqi Wu   +6 more
wiley   +1 more source

Optimal Operation Strategy of Multiterminal AC–DC Interconnected Distribution Networks With SOP

IET Smart Energy Systems, EarlyView.
To improve the operational economy of distribution networks with high penetration of renewable energy, this paper studies the AC–DC interconnected distribution networks with multi‐terminal soft open points (SOPs) and its optimal operation strategy. ABSTRACT To improve the operational economy of distribution networks with high penetration of renewable ...
Xiaolong Yang, Hongbo Wang, Jiaxu Cui, Fang Liu, Jingzhi Wang   +4 more
wiley   +1 more source