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Evolutionary algorithm for protein structure prediction
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Scatter Search algorithm for Protein Structure Prediction
Published 2016Get full text
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Evolutionary algorithm for predicting all-atom protein structure
Published 2011Get full text
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Combining and adapting software quality predictive models by genetic algorithms
Published 2017Get full text
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024Get full text
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Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…Researchers have focused on using historical charging data for predictions of behavior such as departure time and energy needs. …”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022“…The modified datasets are made publicly available to the research community. Before detecting keyframes in a video, it is important to identify and eliminate duplicate or similar video frames. …”
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Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
Published 2020“…To which extend can we predict Cryptocurrency exchange market prices using well known prediction algorithms? …”
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Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
Published 2021“…Research results indicate that algorithmic approaches in competitive industries must account for shifting customer preferences, changes to the travel environment, and confounding business effects rather than relying solely on historical data.…”
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NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
Published 2022“…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …”
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…Persistent obstacles include limited public databases, inconsistent experimental protocols, and the opaque nature of deep learners. Researchers, engineers, and material scientists will gain valuable insights into optimizing ML-driven corrosion predictions, guiding future experimental studies.…”
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…While the previous studies mostly used ANN to demonstrate the capability of MLs to predict PG over the mechanistic or correlation-based models, the present research has shown that GP is even better than ANN using a wide range of FPs and a large data set.…”