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learning algorithm » learning algorithms (Expand Search)
deer algorithm » search algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), rd algorithm (Expand Search), colony algorithm (Expand Search)
element deer » elementi per (Expand Search)
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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine
Published 2024“…The type of algorithm employed to predict drug release from liposomes plays an important role in affecting the accuracy. …”
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Decision-level Gait Fusion for Human Identification at a Distance
Published 2014Get full text
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Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
Published 2013Get full text
doctoralThesis -
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Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks
Published 2025“…Specifically, our approach introduces three key innovations: 1) multi-armed bandit (MAB) mechanism for dynamic epsilon-clipping that adaptively adjusts exploration-exploitation trade-offs; 2) meta-controller framework that automatically tunes hyperparameters including the activation learning rate (ALR) penalties and exploration factors; and 3) integrated gradient-based optimization approach that combines policy gradients with environmental feedback. …”
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Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
Published 2023Get full text
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Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring
Published 2024“…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …”
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The Assessment and Allocation of Public Private Partnership Risks in the UAE
Published 2022Get full text
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Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
Published 2021“…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …”
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Evolutionary support vector regression for monitoring Poisson profiles
Published 2023“…The proposed monitoring scheme is revealed to be superior to its counterparts, including the likelihood ratio test (LRT), multivariate exponentially weighted moving average (MEWMA), LRT-EWMA and other machine learning-based schemes. The simulation results show superiority of the proposed method in profiles with fixed explanatory variables and non-parametric models in nearly all situations while it is not able to be the best in all the simulations when there are with random explanatory variables. …”
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LNCRI: Long Non-Coding RNA Identifier in Multiple Species
Published 2021“…To overcome these challenges we developed LNCRI (Long Non-Coding RNA Identifier), a novel machine learning (ML)-based tool for the identification of lncRNA transcripts. …”
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Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Published 2024“…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …”
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Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …”
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