Results 111 to 120 of about 13,500,255 (277)

Energy Flows Balance of Electric‐Heating Interconnected Microgrids Under Grid‐Forming Converter Integration Based on Heterogeneous Graph Convolutional Network

Energy Internet, EarlyView.
ABSTRACT The combination of electric‐heating interconnected microgrids (EHIMs) with grid‐forming converters (GFMCs) offers a highly promising approach to improving energy management within decentralised energy systems. Despite its potential, precisely modelling and analysing energy flow in such systems remains a considerable challenge due to the ...
Ji Li, Jinduo Yang, Yang Kou, Qingyuan Zhang, Xiao Hu, Yang Gao, Fei Fei Li, Wei Le Liang, Yiyan Li, Ming Li, Lei Xu, Kepaiyitulla Tursun, Yan Qing Peng, Ying Li Huo, Yun Shan Wang, Ze Zhen Zhang   +15 more
wiley   +1 more source

Large‐Scale Applications of Plasma Technologies: Progresses and Challenges

High Voltage, EarlyView.
ABSTRACT Plasma technologies convert electrical power into energetic electrons, ions, reactive species, radiation and heat, thereby breaking through the bottleneck of purely thermal or chemical routes and bringing impressive changes to our world. This roadmap reviews the progress and challenges of plasma technologies from a large‐scale and application ...
Pankaj Attri, Liuyang Bai, Dmitry Batomunkuev, Xueke Che, Guoxing Chen, Zhitong Chen, Wei Cui, Liguang Dou, Zhi Fang, Yangyang Fu, Fausto Gallucci, Yiming Guo, Bangdou Huang, Yinghong Li, Sirui Li, Hua Liang, Liangliang Lin, Dingxin Liu, Xiangyang Liu, Xinpei Lu, Ruonan Ma, Lanlan Nie, Guanghui Niu, Yuge Ouyang, Tao Shao, Jing Sun, Yong Tang, Xin Tu, Sergey P. Vashchenko, Hang Wang, Xianjie Wang, Anke Weidenkaff, Yun Wu, Haohan Xie, Shaojun Xu, Zongxian Yang, Fangli Yuan, Cheng Zhang, Hao Zhang, Jishen Zhang, Shuai Zhang, Yejian Zhang, Zhe Zhang, Zhibo Zhang, Peng Zhao, Shicheng Zhao, Linlin Zhong, Renwu Zhou, Zhenhua Zhou, Xi Zhu, Yifei Zhu, Haohua Zong   +51 more
wiley   +1 more source

An alternative scaling factor in quasi-newton methods for uncostrained optimization

, 2011
Quasi-Newton methods play a vital role in theoretical and computational mathematics. The first quasi-Newton algorithm was developed by Davidon in mid 1950s, and later demonstrated by Fletcher and Powell that the new algorithm was more reliable and ...
Muhammad Fauzi Embong
core  

The law of AI knowledge distillation

American Business Law Journal, EarlyView.
Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley   +1 more source

Damped Inexact Quasi-Newton Methods

, 1981
The inexact quasi-Newton methods are very attractive methods for large scale optimization since they require only an approximate solution of the linear system of equations for each iteration.
Steihaug, Trond
core  

Quasi-Newton methods in infinite-dimensional spaces and application to matrix equations

, 2010
Nonlinear equations, Optimization problems, Quasi-Newton methods, Rate of convergence, Linear convergence, Superlinear convergence, Hilbert space, Matrix equations, Algebraic Riccati equation,
de Malafosse, Bruno, Yassine, Adnan, Bruno de Malafosse, Benahmed, Boubakeur, Bruno Malafosse, Adnan Yassine, Boubakeur Benahmed, Hocine Mokhtar-Kharroubi, Mokhtar-Kharroubi, Hocine   +8 more
core   +1 more source

Exploring market dynamics of biological including biosimilar treatments for retinal diseases in Europe: An interrupted time‐series analysis

Acta Ophthalmologica, EarlyView.
Abstract Purpose To assess the impact of biosimilar ranibizumab and on‐patent faricimab market entry on pricing and utilization trends and describe national variation in off‐label bevacizumab use in Europe. Methods Interrupted time series analysis of quarterly sales data (Q1 2018–Q2 2024) in 11 European countries evaluated ranibizumab utilization and ...
Elif Car, Isabelle Huys, Steven Simoens, Arnold G. Vulto   +3 more
wiley   +1 more source

New Quasi-Newton (Dfp) With Logistic Mapping

Science Journal of University of Zakho, 2016
In this paper, we propose a modification of the self-scaling quasi-Newton (DFP) method for unconstrained optimization using logistic mapping. We shoe that it produces a positive definite matrix.
Salah G. Shareef, Bayda G. Fathi
doaj  

Modifications for Quasi-Newton Method and Its Spectral Algorithm for Solving Unconstrained Optimization Problems

مجلة بغداد للعلوم
In this paper, two modifications for spectral quasi-Newton algorithm of type BFGS are imposed. In the first algorithm, named SQNEI, a certain spectral parameter is used in such a step for BFGS algorithm differs from other presented algorithms.
Evar Lutfalla Sadraddin, Ivan Subhi Latif   +1 more
doaj   +1 more source

A systematic review and meta‐analysis of school‐based interventions for PTSD and trauma‐related symptoms: what effective elements they have in common?

Child and Adolescent Mental Health, EarlyView.
Background Schools provide critical support for students exposed to traumatic experiences, with school‐based trauma interventions demonstrating reductions in posttraumatic stress symptoms. However, heterogeneity in design, implementation, and efficacy of existing interventions makes it challenging to select suitable interventions and to understand ...
Kirsten Rowlinson, Lucinda Grummitt, Isabelle Lynch, Chloe Conroy, Ivana Kihas, Erin Kelly, Emma L. Barrett   +6 more
wiley   +1 more source