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processing algorithm » processing algorithms (Expand Search)
fluent processing » text processing (Expand Search), melt processing (Expand Search)
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processing algorithm » processing algorithms (Expand Search)
fluent processing » text processing (Expand Search), melt processing (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
Published 2025Subjects: -
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Evolutionary algorithm for protein structure prediction
Published 2010“…In this paper, we present an improved genetic algorithm (GA) for predicting 3D structures of proteins based on the hydrophobic polar model. …”
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Scatter Search algorithm for Protein Structure Prediction
Published 2016“…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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Prediction of EV Charging Behavior Using Machine Learning
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Evolutionary algorithm for predicting all-atom protein structure
Published 2011“…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …”
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Combining and adapting software quality predictive models by genetic algorithms
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. The objective is to produce a model capable of predicting centroids with greater accuracy than the traditional random initialization used in K-means. …”
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Online Fuzzy Logic Base Algorithm for Electricity Price Prediction
Published 2017“…The captured parameters are fed to a fuzzy-logic-based algorithm to calculate electric energy prices. Based on predicted electricity prices, consumers can turn ON/OFF or reschedule operations of their home appliances to reduce their electricity bill. …”
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Scatter search for protein structure prediction. (c2008)
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Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
Published 2001“…Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. …”
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025Subjects: -
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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AN INTERVAL KALMAN FILTER, INTERVAL EM ALGORITHM WITH APPLICATION TO WEATHER PREDICTION
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An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…For this purpose, software quality prediction models have been extensively used. However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …”
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
Published 2010“…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023Subjects: “…predictive model…”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022“…The accuracy of the proposed key-frame detection system was assessed using the positive predictive values, sensitivity, and F-scores. Combining the proposed solution with Multi-CNN features and using a random forest classifier, it was shown that the proposed solution achieved an average F-score of 0.98.…”
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Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
Published 2021“…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …”