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181
A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes
Published 2025-01-01“…This study presents a novel dynamic machine learning based explainable fusion approach to address the issues of process monitoring in industrial and chemical process systems. The methodology aims to detect faults, identify their key causes and feature variables, and analyze the root path of fault propagation with the time and magnitude of one cause variable to another impact. …”
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182
Genome-Wide Identification of the Kinesin Gene Family in Soybean and Its Response to Salt Stress
Published 2025-01-01“…Using quantitative fluorescence PCR, transgenic yeast, and a transgenic hairy root system, we preliminarily validated the salt tolerance functions of the four <i>KIN</i> genes in soybeans. …”
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183
Allelopathic Effects of Soil Extracts from <i>Rhus typhina</i> Plantations on Common Turfgrass Species in Northern China
Published 2024-10-01“…The allelopathic plant <i>Rhus typhina</i> (Rt) has a shallowly distributed root system with a high density of secretory canals, which may allow it to exhibit indirect allelopathic effects through the soil on an understory turf species in a plantation. …”
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184
Evaluation of dentists’ clinical practices and antibiotic use in managing endodontic emergencies in Karachi, Pakistan: a cross-sectional survey
Published 2024-12-01“…Materials and methods A web-based questionnaire was distributed to working dentists in secondary and tertiary care hospitals and clinics. …”
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185
Enhancing healthcare data privacy and interoperability with federated learning
Published 2025-05-01Get full text
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186
Improved PR Control Without Load Current Sensors and Phase-Locked Loops for APFs
Published 2025-07-01“…To guide the controller parameter setting, this paper systematically discusses the influence of changes in <i>K</i><sub>p</sub> and <i>K</i><sub>r</sub> on pole distribution and dynamic performance based on discrete domain modeling and root locus analysis methods. …”
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187
Hystimator: DRT‐based hysteresis modelling for accurate SoC estimation in LFP battery cells
Published 2024-12-01“…The validation results show a significant reduction in the Root Mean Square Error (RMSE) during real‐world laboratory testing. …”
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188
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189
Debugmate: an AI agent for efficient on-call debugging in complex production systems
Published 2025-08-01“…Abstract Production systems are often complex and distributed in nature. …”
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190
Regulation and Functions of Long Noncoding RNAs During Meloidogyne incognita Parasitism of Tomato
Published 2025-01-01“…In this study, we investigated the differential regulation and function of lncRNAs during two different stages of tomato infection by the root-knot nematode Meloidogyne incognita. At the early stage of infection, 2,218 and 2,827 lncRNAs were regulated locally in the M. incognita–induced galls and systemically in the neighboring root cells, respectively. …”
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191
A Multi-National Questionnaire-Based Analysis of Dental Students’ Knowledge of the Management of Deep Caries and the Exposed Pulp
Published 2025-08-01“…Systemic antibiotics are considered unnecessary, irrespective of the patient's age and symptoms.…”
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192
Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology
Published 2024-12-01“…Traditional methods for predicting pore size distribution (PSD), relying on drilling cores or thin sections, face limitations associated with depth specificity. …”
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193
Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River
Published 2025-05-01“…The study adopted a combination of the hydrologic engineering center-hydrologic modeling system (HEC-HMS) distributed hydrological model and the long short-term memory (LSTM) network to construct three types of coupled models, namely the HEC-LSTM model based on error correction, the HECo1-LSTM model based on single-station flow, and the HECo2-LSTM model based on multi-sub-basin output. …”
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194
Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River
Published 2025-01-01“…The study adopted a combination of the hydrologic engineering center-hydrologic modeling system (HEC-HMS) distributed hydrological model and the long short-term memory (LSTM) network to construct three types of coupled models, namely the HEC-LSTM model based on error correction, the HECo1-LSTM model based on single-station flow, and the HECo2-LSTM model based on multi-sub-basin output. …”
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195
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196
Research on dynamic characteristics of pantograph arc under cross wind
Published 2022-07-01“…The wear of the contact wire and the surface of the pantograph strip will affect the flow field distribution in the arc area, and ultimately lead to differences in the arc root displacement distance and movement speed.…”
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197
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198
Analysis on the Effect of Controller Time Delay on the Stability of Maglev System
Published 2019-03-01“…In order to study the effect of the time delay on the stability of EMS maglev train and solve the problem of instability of maglev train, a single degree of freedom electromagnetic suspension model based on double loop feedback control system was established. Based on the time delay of controller, the Routh-Hurwitz stability criterion was used to determine the characteristic root distribution of the system. …”
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199
An integrated high-resolution bathymetric model for the Danube Delta system
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200
Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers
Published 2021-01-01“…We fabricate a 3D phantom containing a groove with a variable curvature radius of 5 cm to 100 cm. The presented distributed shape sensing system realize to reconstruct this complicated 3D shape. …”
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