Search Results - (( model mitigating ((new algorithm) OR (_ algorithm)) ) OR ( based replication swarm algorithm ))*
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Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron
Published 2017“…Therefore, this research work proposes design and development of single-phase PV SAPF with a new DC-link capacitor voltage control algorithm named as indirect self- charging with step size error cancellation, and a new harmonics extraction algorithm named as simplified ADALINE. …”
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A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
Published 2024“…This research present a dynamic configurator of the CRNN (DC-CRNN), geared for sequence learning in the context of handwriting recognition, inspired by bio-inspired approaches. The built DCCRNN is based on the Salp Swarm optimization Algorithm (SSA), a processor that given a particular dataset will find the best CRNN’s structure and hyperparameters. …”
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Image-based air quality estimation using convolutional neural network optimized by genetic algorithms: A multi-dataset approach
Published 2025“…These improvements underscore the effectiveness of Genetic Algorithms in optimizing the model.…”
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Correlated survivability analysis model for manets
Published 2014“…In addition, new algorithm also prevents network topology from partitioning. …”
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…The proposed algorithm has been evaluated on the two types of distribution network models which are the distribution network model with 500 customers that includes LV residential and commercial loads as well as MV distribution network, and 164 nodes in MV level. …”
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Novel farmland fertility algorithm based PIDPSS design for SMIB angular stability enhancement
Published 2020“…For this study, design of proportional integral derivative (PID) PSS (PIDPSS) is proposed for damping oscillations and improve angular stability in single machine infinite bus (SMIB) power system modeled and simulated in MATLAB/SIMULINK. A new metaheuristics method called Farmland Fertility Algorithm (FFA) inspired by nature is proposed for optimal design of PIDPSS using a robust ISTSE objective function which had to be minimized. …”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models
Published 2023“…Early identification and management of sugarcane diseases are therefore crucial to mitigate the adverse impacts of these pathogens. In this study, visible and near-infrared spectroscopy (380–1400 nm) combined with a novel wavelength selection method, referred to as modified flower pollination algorithm (MFPA), was utilized for sugarcane disease recognition. …”
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Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das
Published 2019“…The results show that the proposed model, algorithm, and circuit perform better compare to the existing system.…”
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Advanced data mining techniques for landslide susceptibility mapping
Published 2021“…The indices indicated that the SVM model performed better than the other two algorithms in both training and validation datasets. …”
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A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…Second, the datasets taken for the semantic segmentation task are not balanced since certain classes are present more than the others. This biases the model performance to the most represented ones. We propose a new reinforced active learning strategy based on a deep reinforcement learning algorithm. …”
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A selective mitigation technique of soft errors for DNN models used in healthcare applications: DenseNet201 case study
Published 2021“…In this paper, we propose a selective mitigation technique that relies on in-depth analysis. …”
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Algorithmic fairness in AI-driven project management for post-conflict and developing regions: a critical review and framework for context-aware AI
Published 2026“…Standard technical solutions for algorithmic fairness, which require large, clean datasets, are fundamentally misaligned with these realities. …”
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Predictive modelling of the impact of insurtech adoption on financial stability in global insurance companies
Published 2025“…Methodologically, the XGBoost algorithm has proven to be the most robust predictive model, outperforming linear models and capturing the complex nonlinear relationships revealed by SHAP analysis. …”
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