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Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making
Published 2024-11-01Get full text
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62
Adaptive lift chiller units fault diagnosis model based on machine learning.
Published 2025-01-01Get full text
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63
Using Machine Learning to Shorten and Adapt Fall Risk Assessments for Older Adults
Published 2025-02-01“…This study introduces a novel machine learning-based computerized adaptive testing algorithm that personalizes testing to individual capabilities. …”
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64
Adaptive machine learning framework: Predicting UHPC performance from data to modelling
Published 2025-09-01Get full text
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65
Hybrid Machine Learning and Reinforcement Learning Framework for Adaptive UAV Obstacle Avoidance
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Performance comparison of machine learning algorithms for condition monitoring of tapered roller bearings
Published 2025-06-01“…This paper investigated the implementation of machine learning algorithms for health monitoring and fault detection of tapered roller bearings (TRBs) (30205 J2/Q, 30206 J2/Q and 30207 J2/Q). …”
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70
Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms
Published 2025-01-01“…This study proposes an optimized machine learning approach using Gradient Boosting Machine (GBM) and Adaptive Inertia Weight Particle Swarm Optimization (AIW-PSO) to predict heart failure survival. …”
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71
Estimating latent heat flux of subtropical forests using machine learning algorithms
Published 2025-01-01“…By harnessing diverse datasets, we employ various machine learning regression algorithms. We find the support vector regression superior to linear, lasso, random forest, adaptive boosting and gradient boosting algorithms. …”
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72
Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes
Published 2025-06-01“…The algorithms evaluated include logistic regression (LR), k-nearest neighbors (KNN), decision tree (DT), random forest (RF), Adaptive Boosting (AdaBoost), support vector machine (SVM), Extreme Gradient Boosting (XGBoost), and Categorical Boosting (CatBoost). …”
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73
FAST Algorithm for Accurate Corner Points Detection of Section Steel Based on Adaptive Threshold
Published 2025-05-01“…Furthermore, the algorithm proposed provides accurate corner points for real-time section steel flatness detection, and improves the adaptability of corner points extraction.…”
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74
Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models
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75
Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops
Published 2025-06-01“…The model aims to maximize customer satisfaction, minimize total setup time, and reduce deviations in workshop machine loads. To solve this problem, an Adaptive Crayfish Optimization Algorithm (ACOA) is introduced. …”
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76
Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines
Published 2024-12-01“…To solve these issues, this paper proposes a flexible adaptive marine predator algorithm (FAMPA) by introducing an adaptive parameter mechanism to enhance the original MPA. …”
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77
Optimal mixture design for organic Rankine cycle using machine learning algorithm
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78
Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm
Published 2025-08-01Get full text
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79
SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction
Published 2025-08-01“…This paper introduces SMART DShot, a groundbreaking machine learning-enhanced framework that transforms the security landscape of unmanned aerial vehicle motor control systems through seamless integration of adaptive timing correction and real-time anomaly detection within Digital Shot (DShot) communication protocols. …”
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80
ADAPTIVE VISION AI
Published 2024-12-01“…The developed open source software allows detection, tracking and recognition of blurry moving objects with the help of artificial intelligence that adapts to any video camera. A significant increase in accuracy is achieved thanks to machine learning.…”
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