Search Results - data processing methods

Research on manufacturing quality improvement based on product gene evaluation method and a meta-heuristic algorithm with hybrid encoding scheme by Wenxiang Xu, Chao Wang, Shimin Xu, Junyong Liang, Dezheng Liu, Baigang Du

“…Product manufacturing quality is influenced by various factors of the production process, so the key to improve product manufacturing quality is improving the combination of the relevant parameters and processing methods in the manufacturing process. …”
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A Generic Modeling Method of Multi-Modal/Multi-Layer Digital Twins for the Remote Monitoring and Intelligent Maintenance of Industrial Equipment by Maolin Yang, Yifan Cao, Siwei Shangguan, Xin Chen, Pingyu Jiang

“…The model was verified through three different DT modeling scenarios of a robot-based carbon block polishing processing line.…”
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A Fire Segmentation Method with Flame Detail Enhancement U-Net in Multispectral Remote Sensing Images Under Category Imbalance by Rui Zou, Zhihui Xin, Guisheng Liao, Penghui Huang, Rui Wang, Yuhu Qiao

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YOLOPoul: Performance evaluation of a novel YOLO object detectors benchmark for multi-class manure identification to warn about poultry digestive diseases by Wenxiang Qin, Xiao Yang, Yang Wang, Yongxiang Wei, Yan Zhou, Weichao Zheng

“…High accuracy and efficiency were demonstrated by YOLOv8n and YOLOv8s with inference times under 3 ms. However, traditional data augmentation methods were not fully effective in expanding abnormal manure samples. …”
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Modelling the Effect of Resin-Finishing Process Variables on the Dimensional Stability and Bursting Strength of Viscose Plain Knitted Fabric Using a Fuzzy Expert System by Ismail Hossain, Md. Hasib Uddin, Altab Hossain, Mohammad Abdul Jalil, Zulhash Uddin

“… The application of cross-linking resin is an effective method for improving and controlling dimensional stability, such as the shrinkage of viscose single jersey knits. …”
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THE IMPLEMENTATION OF THE AL-JAM’U METHOD ON MUKHTALIF AL-HADITS AND ITS LEGAL ISTIDLAL: Hadith Study on the Limits of Male Awrah by Ahmad Saerozi, Muhammad Saiful Mujab, Abdullah Hanafi

“…This research is a type of qualitative research with a library research model through a philosophical approach, and data processing techniques using descriptive-analytical methods and then analyzed using content analysis techniques.  …”
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Logical integration of information systems based on expert systems by Evgeniy S. Shevtsov, Roman V. Shamin

“…The study set out to develop fundamental methodological principles for the logical integration of information systems (IS) in organizations and to quantitatively assess the topological significance of the IS integration process.Methods. Methods based on expert systems were used for the logical integration of information in conjunction with data-mining approaches based on various IS. …”
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Developing a process-based and remote sensing driven crop yield model for maize (PRYM–Maize) and its validation over the Northeast China Plain by Sha ZHANG, Yun BAI, Jia-hua ZHANG, Shahzad ALI

“…High sensitivity of crop growth models to uncertainties in input factors and parameters and relatively coarse parameterizations in conventional remote sensing (RS) approaches limited their applications over broad regions. In this study, a process-based and remote sensing driven crop yield model for maize (PRYM–Maize) was developed to estimate regional maize yield, and it was implemented using eight data-model coupling strategies (DMCSs) over the Northeast China Plain (NECP). …”
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Evaluation of the technical condition of the stroke gearbox of a mining excavator by Lagunova Yu.A., Makarova V.V., Bykov D.V., Adamkov A.V.

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pnetr: An R package for the PnET family of forest ecosystem models by Xiaojie Gao, Zaixing Zhou, Scott V. Ollinger, Jaclyn Hatala Matthes, Wenzhe Jiao, Jonathan R. Thompson

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Integrating plot-based methods for monitoring biodiversity in island habitats under the scope of BIODIVERSA + project BioMonI: Tree monitoring in Terceira, Tenerife and Réunion Isl... by Paulo Borges, Leila Morgado, Rosalina Gabriel, Rui Elias, Mirana Gauche, Claudine Ah-Peng, Rüdiger Otto, Lea de Nascimento, Dominique Strasberg, Nathaly Guerrero-Ramírez, Holger Kreft, José María Fernández-Palacios

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A new automatic AHP tool to assess the forest vulnerability to wind damage by Jan Kašpar, Sanaa Badr, Meryem Tahri, Mohamed Maanan, Haytham Tahri, Zohreh Mohammadi, Miroslav Novotný, Noura Yousfi

“…This study performs an analytical hierarchy process (AHP) approach in conjunction with spatial data to map the vulnerability of forests to wind damage. …”
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Robust neural network filtering in the tasks of building intelligent interfaces by A. V. Vasiliev, A. O. Melnikov, S. A. Lesko

“…The aim of the present study is to investigate the possibility of using neural networks to filter individual components of the EMG signal.Methods. Mathematical signal processing techniques are used along with machine learning methods.Results. …”
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Patients with atrial fibrillation in outpatient practice: clinical characteristics and outcomes over a 10-year observation period (data from the REQUAZA AF registrу — Yaroslavl) by V. V. Yakusevich, V. Vl. Yakusevich, S. Yu. Martsevich, M. M. Lukyanov, O. M. Drapkina

“…Statistical processing was carried out using the Microsoft Office 365 application software package.Results. …”
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Hepatoprotective effects of chondroitin sulfate and glucosamine sulfate by I. Yu. Torshin, A. M. Lila, O. A. Gromova

“…Long-term use of chondroprotective agents – chondroitin sulfate (CS) and glucosamine sulfate (GS) in the treatment of osteoarthritis puts forward increased requirements for the safety of drugs, primarily in terms of effects on the liver and kidneys.Objective: systematization of data on the effect of chondroprotectors on liver structure and functions.Material and methods. …”
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A Dual-Encoder Contrastive Learning Model for Knowledge Tracing by Yanhong Bai, Xingjiao Wu, Tingjiang Wei, Liang He

“…Knowledge tracing (KT) models learners’ evolving knowledge states to predict future performance, serving as a fundamental component in personalized education systems. However, existing methods suffer from data sparsity challenges, resulting in inadequate representation quality for low-frequency knowledge concepts and inconsistent modeling of students’ actual knowledge states. …”
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Application of Polynomial Regression Method in Non-invasive Measurement of Blood Sugar, Cholesterol, and Non-invasive Uric Acid Based on IoT by Desi Rahmadaniar, Irma Salamah, Martinus Mujur Rose

“…After that, the second-order polynomial regression method is used to process the sensor data and determine the blood sugar, cholesterol, and uric acid levels. …”
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SAR-DeCR: Latent Diffusion for SAR-Fused Thick Cloud Removal by Meilin Wang, Shihao Hu, Yexing Song, Yukai Shi

“…The current methods for removing thick clouds from remote-sensing images face significant limitations, including the integration of thick cloud images with synthetic aperture radar (SAR) ground information, the provision of meaningful guidance for SAR ground data, and the accurate reconstruction of textures in cloud-covered regions. …”
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The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method by Hong WANG, Qiaoshun YAN, Zujun ZHAO, Daxiang CHEN, Zhiming ZHANG

“…High-quality precipitation is an important precondition to conduct the study of ecohydrology and climate change in mountain area.However， complicated terrain and scarce and uneven ground observation stations make the understanding of spatiotemporal variations characteristics of precipitation in the Ailao Mountain Area unclear.In this study， GWR （Geographical Weighted Regression） model is used to downscale GSMaP-Gauge precipitation data with 0.1° spatial resolution to 30 m.After validating the accuracy of downscaled precipitation data by using monthly meteorological stations data， the monthly precipitation dataset from 2000 to 2020 in the Ailao Mountain Area is developed.Based on this dataset， the long-term （2000 -2020） spatiotemporal variations characteristics of precipitation at both annual and monthly scales in the study area are illustrated.The results showed that （1） the accuracy of downscaled GSMaP-Gauge precipitation by GWR model was reliable （R2=0.77， Bias=-0.01）， with the significant improvement of spatial details.（2） Spatially， the annual precipitation amount increased from north to south， and it first increased and then decreased with the rising of elevation in the Ailao Mountain Area.Temporally， there was obvious dry and wet seasons in the study area from 2000 to 2020， with the precipitation amount from May to September accounting for 74.74% of the annual precipitation.And precipitation amount first increased and then decreased from February to December， with the maximum occurred in July.（3） From the aspect of spatiotemporal change， the annual average precipitation amount decreased from 2001 to 2020， only 24.19% area was at an increasing trend concentrated at the southeastern Ailao Mountain Area.As for different months， precipitation amount was significantly increased in January and significantly decreased in May， while the change trends of precipitation in the other months were insignificant.This study has found that GWR downscaling method is valid to obtain high-resolution precipitation data， which is also an effective pathway to clarify the spatiotemporal characteristics of precipitation， and to provide key and basic data for ecohydrological process study and regional water resources management in mountain area.…”
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Analysis of Gearbox Bearing Fault Diagnosis Method Based on 2D Image Transformation and 2D-RoPE Encoding by Xudong Luo, Minghui Wang, Zhijie Zhang

“…To improve feature extraction from time-series data and enhance model robustness, this paper proposes an innovative method based on the ViT. …”
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