Results 31 to 40 of about 2,463 (192)

Artificial Intelligence‐Based English Self‐Learning Effect Evaluation and Adaptive Influencing Factors Analysis

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
Under the background of continuous development in our country, traditional English education can no longer meet the needs of modern times. Through the evaluation of English autonomous learning effect of artificial intelligence and the analysis of the influencing factors of adaptability, the teaching effect of English class is improved and the students’
Xing Shu, Chengjun Xu, Man Fai Leung
wiley   +1 more source

A Multi-Period Optimal Reactive Power Dispatch Approach Considering Multiple Operative Goals

Applied Sciences, 2021
The optimal reactive power dispatch (ORPD) problem plays a key role in daily power system operations. This paper presents a novel multi-period approach for the ORPD that takes into account three operative goals.
Jairo A. Morán-Burgos, Juan E. Sierra-Aguilar, Walter M. Villa-Acevedo, Jesús M. López-Lezama   +3 more
doaj   +1 more source

Optimization of Regional Industrial Structure Based on Multiobjective Optimization and Fuzzy Set

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
With the development of China’s economy, it is required to change the mode of economic growth, from extensive growth mode to intensive growth mode. Therefore, the research on industrial structure is of great significance. This study proposes a regional industrial structure optimization method based on multiobjective optimization and fuzzy set. Firstly,
Lina Guo, Zaoli Yang
wiley   +1 more source

A Novel Method for Diagnosis of Broken Bars Based on Optimum Resolution of Prescient Direction Algorithm

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Fourier transformation (FT) and Multiple Signal Classification (MUSIC) method suffer the insufficient ability in diagnosing broken rotor bar (BRB) fault using short‐time data. Theoretical and simulation analyses show that the Optimum Resolution of Prescient Direction (ORPD) algorithm has the best frequency resolution performance due to a priori ...
Zhuzhi Jia, Yizhe Wang, Hongyu Zhu, Xiangjin Song, Kuruva Lakshmanna   +4 more
wiley   +1 more source

An Improved New Caledonian Crow Learning Algorithm for Global Function Optimization

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
The New Caledonian crow learning algorithm (NCCLA) is a novel metaheuristic algorithm inspired by the learning behavior of New Caledonian crows learning to make tools to obtain food. However, it suffers from the problems of easily falling into local optima and insufficient convergence accuracy and convergence precision.
Yanjiao Wang, Jiaxu Song, Ziming Teng, Tongguang Ni   +3 more
wiley   +1 more source

A novel hybrid approach based artificial bee colony and salp swarm algorithms for solving ORPD problem

Indonesian Journal of Electrical Engineering and Computer Science, 2021
Optimal reactive power dispatch (ORPD) is an important task for achieving more economical, secure and stable state of the electrical power system. It is expressed as a complex optimization problem where many meta-heuristic techniques have been proposed to overcome various complexities in solving ORPD problem.
Souheil Salhi, Djemai Naimi, Ahmed Salhi, Saleh Abujarad, Abdelouahab Necira   +4 more
openaire   +1 more source

Derivation and validation of a two‐variable index to predict 30‐day outcomes following heart failure hospitalization

ESC Heart Failure, Volume 8, Issue 4, Page 2690-2697, August 2021., 2021
Abstract Background The LACE index—length of stay (L), acuity (A), Charlson co‐morbidities (C), and emergent visits (E)—predicts 30‐day outcomes following heart failure (HF) hospitalization but is complex to score. A simpler LE index (length of stay and emergent visits) could offer a practical advantage in point‐of‐care risk prediction.
Tauben Averbuch, Shun Fu Lee, Mamas Andreas Mamas, Urun Erbas Oz, Richard Perez, Stuart James Connolly, Dennis Tien‐Wei Ko, Harriette Gillian Christine Van Spall   +7 more
wiley   +1 more source

The LENT index predicts 30 day outcomes following hospitalization for heart failure

ESC Heart Failure, Volume 8, Issue 1, Page 518-526, February 2021., 2021
Abstract Aims The LE index (Length of hospitalization plus number of Emergent visits ≤6 months) predicts 30 day all‐cause readmission or death following hospitalization for heart failure (HF). We combined N‐terminal pro‐B type natriuretic peptide (NT‐proBNP) levels with the LE index to derive and validate the LENT index for risk prediction at the point
Harriette GC Van Spall, Tauben Averbuch, Shun Fu Lee, Urun Erbas Oz, Mamas A Mamas, James Louis Januzzi, Dennis T Ko   +6 more
wiley   +1 more source

Solution to the deterministic and stochastic Optimal Reactive Power Dispatch by integration of solar, wind-hydro powers using Modified Artificial Hummingbird Algorithm

Energy Reports, 2023
In electrical power networks, the optimal reactive power dispatch (ORPD) problem is essential to the system studies to perform reliable and secure operations by maintaining the control variable within their permissible limits.
Raheela Jamal, Junzhe Zhang, Baohui Men, Noor Habib Khan, Mohamed Ebeed, Salah Kamel   +5 more
doaj   +1 more source

[Retracted] Multiobjective Optimal Dispatching Method of Generalized Power Active Distribution Network Based on Game Theory

Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021
To improve the operating dependability of a generalized power active distribution network, a multiobjective optimal scheduling approach based on game theory is proposed. The active distribution network′s multistakeholder coordinated and optimal dispatching mode is then established, and the game interaction between various stakeholders in the ...
Xiaoxiang Fan, Jian Su
wiley   +1 more source