Search Results - algorithm parameters of novelty

Improved moth flame optimization algorithm based on opposition-based learning and Lévy flight distribution for parameter estimation of solar module by 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…”
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Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Río Tercero reservoir (Argentina) by 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…”
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Real-time adaptive super twisting algorithm based on PSO algorithm: application for an exoskeleton robot by 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…”
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A fast dissipative robust nonlinear model predictive control procedure via quasi‐linear parameter varying embedding and parameter extrapolation by 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…”
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Tractable Inference and Observation Likelihood Evaluation in Latent Structure Influence Models by 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…”
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Enhancing battery management for HEVs and EVs: A hybrid approach for parameter identification and voltage estimation in lithium-ion battery models by 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…”
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Novelty detection improves performance of reinforcement learners in fluctuating, partially observable environments by 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…”
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Machine learning algorithms based advanced optimization of wire-EDM parameters: an experimental investigation into titanium alloy by 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…”
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Combining synergetic control and super twisting algorithm to reduce the active power undulations of doubly fed induction generator for dual-rotor wind turbine system by 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…”
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Optimal control of FOPID controllers for PMSG wind energy conversion system using golden eagle optimization algorithm by 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…”
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Augmented real-time lumped-parameter model for enhanced reliability in battery management systems by 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…”
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State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms by 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…”
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Parameter extraction of solar cell models using improved shuffled complex evolution algorithm by 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…”
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Diffusion LMS with component-wise variable step-size over sensor networks by 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…”
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by 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…”
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A comprehensive and critical review of bio-inspired metaheuristic frameworks for extracting parameters of solar cell single and double diode models by 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…”
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Machine learning predictive models for optimal design of building‐integrated photovoltaic‐thermal collectors by 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…”
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Perturbed stochastic fractal search for solar PV parameter estimation by Chen, Xu, Yue, Hong, Yu, Kunjie

“…), is proposed to estimate the PV parameters in an optimization framework. The novelty lies in two aspects…”
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Performance investigations on data protection algorithms in generalized multi protocol label switched optical networks by 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…”
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DMDRDF: diabetes mellitus and retinopathy detection framework using artificial intelligence and feature selection by 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…”
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