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13921
A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration
Published 2024-12-01“…Calibration procedures reduced the maximum mean error of the ultrasonic wind sensors from 0.7 m/s to 0.2 m/s, achieving a 71% improvement in measurement accuracy. …”
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13922
Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis
Published 2025-05-01“…However, most studies focus on blood-derived data, with limited research on saliva, and the inability to directly analyze methylation data across diverse platforms constrains predictive accuracy. …”
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13923
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13924
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13925
A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements
Published 2024-12-01“…BaySurcls reduced root mean square error (RMSE) by an average of 20% in collocated scenarios, with reductions of up to 25% in highvariation sites. …”
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13926
FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification
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13927
LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion
Published 2025-08-01“…Accurate prediction of soil moisture content (SMC) is important for water resource management, irrigation optimization, and drought monitoring. Current research focuses on inverse monitoring of SMC, but management decisions based on inverse results often suffer from lags. …”
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13928
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13929
A comparative analysis of five land surface temperature downscaling methods in plateau mountainous areas
Published 2025-01-01Get full text
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13930
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13931
Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive
Published 2025-06-01“…In order to effectively suppress vibration, an adaptive factor σ based on the error value and a regularized weight attenuation factor λ are innovatively introduced to quickly respond to system changes and reduce the error. …”
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13932
Leveraging moisture elimination and hybrid deep learning models for soil organic carbon mapping with multi-modal remote sensing data
Published 2025-05-01“…Results indicate that (1) the proposed paradigm achieves optimal SOC content prediction accuracy in humid regions, with a root mean square error (RMSE) of 3.58 g kg−1, a coefficient of determination (R2) of 0.76, a ratio of performance to interquartile distance (RPIQ) of 2.26, and a mean absolute error (MAE) of 4.73 g kg−1. …”
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13933
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13934
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13935
Ultra-Wideband Analog Radio-over-Fiber Communication System Employing Pulse-Position Modulation
Published 2025-04-01“…This research presents a novel approach to 28 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>GHz</mi></mrow></semantics></math></inline-formula> impulse radio ultra-wideband (IR-UWB) transmission using pulse position modulation (PPM) over an analog radio-over-fiber (ARoF) link, investigating the impact of fiber-based fronthaul on the overall performance of the communication system. …”
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13936
Three-dimensional omnidirectional characterization methods of rock anisotropic wave velocity and acoustic emission location optimization
Published 2025-03-01“…Rock failure and instability have been key research topics in rock mechanics domestically and internationally. …”
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13937
Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan
Published 2024-09-01“…Secondly, Spatial Durbin Error Model (SDEM) was used to detect and capture the impact of spatial spillover on childhood stunting. …”
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13938
Resilient Multimedia Embedding in DICOM Images: A Robustness Evaluation Under Multiple Attacks
Published 2025-01-01“…This comprehensive analysis not only validates the robustness of the embedding techniques but also lays the groundwork for future research in secure medical image processing.…”
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13939
Bayesian adaptation in Poisson cognitive systems
Published 2019-09-01“…The aim of the study is to investigate the possibility of applying Bayesian adaptation algorithms to cognitive systems that perceive the Poisson process of external events.The method of research is the use of stochastic description and synthesis of cognitive systems, including the theory of doubly stochastic Poisson processes and the theory of Bayesian adaptation. …”
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13940
In vivo confocal microscopy provides evidence of corneal nerve damage and basal tear film reduction in patients treated with oral isotretinoin
Published 2025-05-01“…The purpose of this research was to analyze changes in corneal innervation and its association with tear film integrity in patients treated with oral isotretinoin. …”
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