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2061
The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning.
Published 2020-01-01“…Second, based on the isolated Forest (iForest) abnormal score data processing algorithm combined with the Local Linear Embedding (LLE) data dimensionality reduction method, an algorithm for data feature extraction is constructed. …”
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2062
Enhanced Multilinear PCA for Efficient Image Analysis and Dimensionality Reduction: Unlocking the Potential of Complex Image Data
Published 2025-02-01“…Additionally, it innovatively combines the dimensionality reduction method with the Mask R-CNN algorithm, enhancing the accuracy of image segmentation. …”
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2063
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2064
A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking
Published 2025-07-01“…In its original form, Multi-CQF-based scheduling algorithms do not account for flow sorting, leading to increased transmission delays and reduced network efficiency as a network dynamically changes. …”
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2065
Experimental Application of Predictive Controllers
Published 2012-01-01“…The classical algorithms Infinite Horizon Model Predictive Control (IHMPC) and Model Predictive Control with Reference System (RSMPC) were used for the experimental application in the multivariable control of the pilot plant (level and pH). …”
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2066
Explainable Model Prediction of Memristor
Published 2024-01-01“…This article proposes predicting the memristor device under test by automatically evaluating the <italic>I–V</italic> behavior using random forest and extreme gradient boosting algorithms. …”
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2067
Prediction of Scale Synchronization Instability
Published 2016-08-01“…Based on the models of long-term care scales algorithms to estimate parameters of these processes and their prediction are created. …”
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2068
Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction
Published 2025-02-01Get full text
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2069
Atmospheric Modeling for Wildfire Prediction
Published 2025-04-01“…Our study focuses on developing wildfire prediction models using one-class classification algorithms. …”
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2070
Power Loss Reduction and Reliability Improvement of Radial Distribution Systems Using Optimal Capacitor Placement Technique
Published 2024-03-01“…The proposed technique has been tested with 69 typical IEEE RDS buses using the Improved Binary Particle Swarm Optimization (IBPSO) algorithm. The proposed algorithm shows a high ability to find the best location and size of injected capacitors inside the RDS to implement a single-objective function for minimization of Active Power Loss (APL). …”
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2071
Melanoma risk prediction models
Published 2014-01-01“…The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. …”
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2072
Editorial: Exploring machine learning applications in visceral surgery
Published 2025-05-01Subjects: Get full text
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2073
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2074
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2075
Predictive Model to Analyse Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques
Published 2025-03-01“…Our methodology encompasses the generation of synthetic data via generative model, followed by the application of these algorithms to each data set. The models are evaluated using precision metrics to assess their predictive accuracy. …”
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2076
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2077
Generative Adversarial Network-Based Distortion Reduction Adapted to Peak Signal-to-Noise Ratio Parameters in VVC
Published 2024-12-01“…The experimental results demonstrate that the algorithm attains an average PSNR value of 30.1147 on the publicly accessible YUV sequence dataset, YUV Trace Dataset, which is a 9.02% enhancement compared to the original network. …”
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2078
Gaussian Pulse-Based Two-Threshold Parallel Scaling Tone Reservation for PAPR Reduction of OFDM Signals
Published 2011-01-01Get full text
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2079
Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction
Published 2025-07-01“…The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. …”
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2080