Suchergebnisse - algorithm parameters of novelty

Improved moth flame optimization algorithm based on opposition-based learning and Lévy flight distribution for parameter estimation of solar module von Sharma, Abhishek, Sharma, Abhinav, Averbukh, Moshe, Rajput, Shailendra, Jately, Vibhu, Choudhury, Sushabhan, Azzopardi, Brian

“… An enhanced version of the moth flame optimization algorithm is proposed in this paper for rapid and precise parameter extraction of solar cells …”
Volltext

Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Río Tercero reservoir (Argentina) von Bonansea, Matias, Rodriguez, María Claudia, Pinotti, Lucio, Ferrero, Susana

“… Many studies have proposed algorithms between Landsat data and in-situ water quality parameters using classical regression models …”
Volltext

Real-time adaptive super twisting algorithm based on PSO algorithm: application for an exoskeleton robot von Tiaiba, Hichame, Daachi, Mohamed El Hossine, Madani, Tarek

“… The novelty of this study is online handling parameters setting in the conventional super twisting algorithm, bypass heavy offline calculation, and also avoid the instability and abrupt changing …”
Volltext

A fast dissipative robust nonlinear model predictive control procedure via quasi‐linear parameter varying embedding and parameter extrapolation von Morato, Marcelo Menezes, Normey‐Rico, Julio E., Sename, Olivier

“… ) systems is proposed. The novelty resides in considering a recursive extrapolation algorithm to estimate the values of the scheduling parameters along the prediction horizon Np, which fastens the sluggish performances …”
Volltext

Tractable Inference and Observation Likelihood Evaluation in Latent Structure Influence Models von Karimi, Sajjad, Shamsollahi, Mohammad Bagher

“… ). Against CHMMs, LSIMs overcome the exponential growth of state-space parameters by considering the influence model for coupled Markov chains …”
Volltext

Enhancing battery management for HEVs and EVs: A hybrid approach for parameter identification and voltage estimation in lithium-ion battery models von Khosravi, Nima, Dowlatabadi, Masrour, Abdelghany, Muhammad Bakr, Tostado-Véliz, Marcos, Jurado, Francisco

“… This study proposes a hybrid method, combining a war strategy optimization (WSO) algorithm and a hierarchical deep learning neural network (HDLNN …”
Volltext

Novelty detection improves performance of reinforcement learners in fluctuating, partially observable environments von Marzen, Sarah E.

“… •It is relatively easy to build a novelty detector to recognize when the environment has changed.•Reward optimizers with novelty detectors do better than those without, by reinitializing weights when the environment changes …”
Volltext

Machine learning algorithms based advanced optimization of wire-EDM parameters: an experimental investigation into titanium alloy von Sharma, Vikas, Misra, Joy Prakash, Singhal, Sandeep

“… This paper aims to optimize the various process inputs in the wire electrical discharge machining of Ti-alloy, Ti-6Al-7Nb, using machine learning (ML) algorithms …”
Volltext

Combining synergetic control and super twisting algorithm to reduce the active power undulations of doubly fed induction generator for dual-rotor wind turbine system von Benbouhenni, H., Lemdani, S.

“… ; characterized by robustness against the parameters change or disturbances, it gives a good power quality under different conditions such as changing generator parameters. Novelty …”
Volltext

Optimal control of FOPID controllers for PMSG wind energy conversion system using golden eagle optimization algorithm von Jayaudhaya, J., Magesh, T., Devi, G., Isabella, L. Annie, Thangavelu, Raja

“… This paper addresses the growing necessity for enhanced control strategies in wind energy conversion systems (WECS) to optimize the concert of permanent magnet …”
Volltext

Augmented real-time lumped-parameter model for enhanced reliability in battery management systems von Babazadeh, Mehrdad, Marco, James, Niri, Mona Faraji

“… (LPTM) and a reliable real-time parameter estimation algorithm. The core novelty of the framework is the new representation of the cell and the Modified Recursive Least Squares (ModRLS …”
Volltext

State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms von Carrera, Romel, Quiroz, Leonidas, Guevara, Cesar, Acosta-Vargas, Patricia

“… The novelty of this approach lies in the integration of machine learning and physical modeling, optimized via evolutionary algorithms, to address limitations of standalone methods in real-time applications …”
Volltext

Parameter extraction of solar cell models using improved shuffled complex evolution algorithm von Gao, Xiankun, Cui, Yan, Hu, Jianjun, Xu, Guangyin, Wang, Zhenfeng, Qu, Jianhua, Wang, Heng

“… •A novel ISCE algorithm is proposed for parameter extraction of solar cell models …”
Volltext

Diffusion LMS with component-wise variable step-size over sensor networks von Huang, Wei, Yang, Xi, Liu, Duanyang, Chen, Shengyong

“… In this study, the authors propose a novel component-wise variable step-size (CVSS) diffusion distributed algorithm for estimating a specific parameter over sensor networks …”
Volltext

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images von A, Ahila, M, Poongodi, Bourouis, Sami, Band, Shahab S., Mosavi, Amir, Agrawal, Shweta, Hamdi, Mounir

“… Breast cancer is the most menacing cancer among all types of cancer in women around the globe. Early diagnosis is the only way to increase the treatment …”
Volltext

A comprehensive and critical review of bio-inspired metaheuristic frameworks for extracting parameters of solar cell single and double diode models von Younis, Abubaker, Bakhit, Abdalaziz, Onsa, Mahmoud, Hashim, Mohsin

“… the parameters of solar cell single diode (SDM) and double diode (DDM) models. The novelty embedded within this appraisal lies in rating these algorithms and their associated …”
Volltext

Machine learning predictive models for optimal design of building‐integrated photovoltaic‐thermal collectors von Shahsavar, Amin, Moayedi, Hossein, Al‐Waeli, Ali H. A., Sopian, Kamaruzzaman, Chelvanathan, Puvaneswaran

“… –output parameters of the BIPVT system. The novelty of this work is that it utilizes and compares multiple …”
Volltext

Perturbed stochastic fractal search for solar PV parameter estimation von Chen, Xu, Yue, Hong, Yu, Kunjie

“… ), is proposed to estimate the PV parameters in an optimization framework. The novelty lies in two aspects …”
Volltext

Performance investigations on data protection algorithms in generalized multi protocol label switched optical networks von Monika, Singh, Simranjit, Wason, Amit

“… In this paper, GMPLS network is proposed with random users and then the data protection algorithms have been analyzed on proposed GMPLS optical network …”
Volltext

DMDRDF: diabetes mellitus and retinopathy detection framework using artificial intelligence and feature selection von Balaha, Hossam Magdy, El-Gendy, Eman M., Saafan, Mahmoud M.

“… ). The novelty of DMD phase is concerned in two contributions. Firstly, a novel feature selection approach called Advanced Aquila Optimizer Feature Selection ( A 2 O F …”
Volltext