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GenePixKolor (GPK) Fusion: A Novel Evolutionary Algorithm-Based Optimized NFT Card Generation and Rarity Ranking Method for Gaming Tokenomics
Published 2025-01-01“…GPK Fusion leverages genetic algorithms, image processing and machine learning to create a comprehensive, four-stage system that optimizes both the trait generation and visual appeal of NFTs, while providing an advanced rarity ranking mechanism. …”
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Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization
Published 2025-09-01“…To achieve this goal, four ensemble boosting ML algorithms, namely Gradient Boosting, HistGBoost, XGBoost, and LightGBM, were adopted for implementation. …”
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A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms
Published 2025-04-01“…However, under extreme weather conditions, the difficulty of research is caused by data scarcity and significant weather fluctuations. …”
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A hybrid path planning algorithm combining A* and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments
Published 2024-12-01“…This research presents a novel hybrid path planning algorithm combining A*, ant colony optimization (ACO), and the dynamic window approach (DWA) to enhance energy efficiency in warehouse environments. …”
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A Study on an Anti-Multiple Periodic Frequency Modulation (PFM) Interference Algorithm in Single-Antenna Low-Earth-Orbit Signal-of-Opportunity Positioning Systems
Published 2025-04-01“…Simulation and experimental results demonstrate that, compared to traditional algorithms, this method can effectively eliminates single/multiple-component PFM interference, improve the interference suppression performance under the conditions of narrow bandwidth and high signal power, and holds a high application value in LEO satellite SOP positioning.…”
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation
Published 2025-07-01“…Henry C Ssemaganda,1 Sharon E Davis,2 Usha S Govindarajulu,3 Jejo D Koola,4 Jialin Mao,5 Dax Marek Westerman,6 Amy M Perkins,6 Theodore Speroff,7 Craig R Ramsay,8 Art Sedrakyan,5 Lucila Ohno-Machado,9 Michael E Matheny,10,11,* Frederic S Resnic1,12,* 1Division of Cardiovascular Medicine and Comparative Effectiveness Research Institute, Lahey Hospital and Medical Center, Burlington, MA, USA; 2Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA; 3Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 4Department of Medicine, University of California San Diego, La Jolla, CA, USA; 5Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA; 6Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA; 7Departments of Medicine and Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA; 8Health Services Research Unit, University of Aberdeen, Aberdeen, UK; 9Department of Biomedical Informatics and Data Science, Yale School of Medicine, Haven, CT, USA; 10Departments of Biomedical Informatics, Biostatistics, and Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA; 11Geriatrics Research Education and Clinical Care Service, Tennessee Valley Healthcare System VA, Nashville, TN, USA; 12Department of Medicine, University of Massachusetts Chan School of Medicine, Worcester, MA, USA*These authors contributed equally to this workCorrespondence: Henry C Ssemaganda, Division of Cardiovascular Medicine and Comparative Effectiveness Research Institute, Lahey Hospital & Medical Center, 41 Mall Road, Burlington, MA, 01803, USA, Email semahen@gmail.comImportance: Safety issues leading to patient harm and significant costs have been identified in several post-market medical devices. …”
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Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms
Published 2025-01-01“…Several evaluation metrics were employed to assess and compare the performance of eight different machine learning models, aiming to identify the most effective algorithm for predicting coronary heart disease risk in individuals with depression. …”
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Distinct brain atrophy progression subtypes underlie phenoconversion in isolated REM sleep behaviour disorderResearch in context
Published 2025-07-01“…Garfield Weston Foundation.The work performed in Oxford was funded by Parkinson's UK (J-2101) and the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC).The work performed in Prague was funded by the Czech Health Research Council (grant NU21-04-00535) and by The National Institute for Neurological Research (project number LX22NPO5107), financed by the European Union – Next Generation EU. …”
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