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Characteristics of R2019 Processing of MODIS Sea Surface Temperature at High Latitudes
Published 2024-11-01“…However, as surface temperature retrieval algorithms in the infrared (IR) part of the electromagnetic spectrum are designed to compensate for atmospheric effects mainly due to water vapor, MODIS SST<sub>skin</sub> retrievals have larger uncertainties at high latitudes where the atmosphere is very dry and cold, which is an extreme in the distribution of global conditions. …”
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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method
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An optimized proportional resonant current controller based genetic algorithm for enhancing shunt active power filter performance
Published 2024-02-01“…In general, the goal is to achieve better and more appropriate performance to reduce harmonic disturbances and create a robust, faster, more accurate, flexible, stable, and optimal performance of these systems in detecting and generating compensation signals. The simulations have been done in MATLAB/SIMULINK, and also the experimental tests of this device have been done and validated in a real DSP-based SAPF. …”
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Mixed Gas Detection and Temperature Compensation Based on Photoacoustic Spectroscopy
Published 2024-01-01“…In response to address issues such as difficulties in judging data for classification and recognizing gas components with low accuracy, a KNN-SVM algorithm has been proposed. The algorithm primarily reclassifies ambiguous data that are close to the hyperplane but do not have a clear affiliation, capturing data characteristics more comprehensively. …”
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A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm
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Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning
Published 2024-04-01“…The results show that the ensemble learning model based on Stacking algorithm has the highest prediction accuracy for total organic carbon content compared with decision tree model, support vector regression machine model, BP neural network model, and improved ΔlgR method. …”
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Hysteresis Control for Shunt Active Power Filter under Unbalanced Three-Phase Load Conditions
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A Comprehensive Survey on Machine and Deep Learning for Optical Communications
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Simplification of the diagnostic approach and treatment of Hepatitis C Virus.
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Research on Active–Passive Training Control Strategies for Upper Limb Rehabilitation Robot
Published 2024-11-01“…It establishes an upper limb kinematic model based on the Lagrange method and builds a man–machine integration dynamics model for upper limb rehabilitation in MATLAB (R2016a)/Simulink. A design active controller, passive controller, and switching controller based on PI and feedforward compensation strategies are proposed to improve training control accuracy. …”
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Microbiota and Long-Term Prognosis in Liver Cirrhosis
Published 2024-06-01“…High-throughput sequencing was performed using a MiSeq genetic analyzer (Illumina, USA) and a protocol based on analysis of 16s rRNA gene variable regions. The study was registered in Clinicaltrials.gov (NCT05335213). …”
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Truncated Modular Exponentiation Operators: A Strategy for Quantum Factoring
Published 2024-12-01“…The obvious problem with this method is that it is self-defeating: If we knew the operator $U$, then we would know the period $r$ of the ME function, and there would be no need for Shor's algorithm. …”
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Flexural strengthening of corroded steel beams with CFRP by using the end anchorage: Experimental, numerical, and machine learning methods
Published 2025-12-01“…The ML prediction showed that the CatBoost algorithm had the highest accuracy, with an R2 score of 0.954. …”
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INSTRUMENTAL AND BIOPHYSICAL METHOD OF EVALUATION TEST OF SEEDS OF GREEN VEGETABLE CULTURES
Published 2019-06-01“…Questions of quality of the sowed seeds in agriculture have paramount value. Use of highquality uniform seeds is the key to successful production of crop production. …”
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Transmitted drug resistance in the CFAR network of integrated clinical systems cohort: prevalence and effects on pre-therapy CD4 and viral load.
Published 2011-01-01“…We found that causal effect estimates of mutations M184V/I (-1.7 log₁₀pVL) and D67N/G (-2.1[³√CD4] and 0.4 log₁₀pVL) were compensated by K103N/S and K219Q/E/N/R. As TDR becomes an increasing dilemma in this modern era of highly-active antiretroviral therapy, these results have immediate significance for the clinical management of HIV-1 infections and our understanding of the ongoing adaptation of HIV-1 to human populations.…”
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Choosing a method for correcting anxiety in children aged 4–12 years before dental treatment
Published 2025-06-01“…Alternatively, dental procedures for unadapted patients are performed under anesthesia or sedation. But doctors do not have a proven algorithm for diagnosing a child’s anxiety level and how to correct this condition for safe and effective dental treatment. …”
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