Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…It is designed to advance the current quality management in flexible manufacturing systems (FMSs) through real-time, data-driven, and predictive optimization. This proposed framework uses four data types, namely feedstock quality (<i>Q_f</i>), machine degradation (<i>Q_m</i>), product processing quality (<i>Q_p</i>), and quality inspection (<i>Q_i</i>). …”
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Forest fire detection based on temporal and spatial correction of background brightness temperature using GF-4 PMI data by P. Cheng, H. Sui, J. Wang, L. Hua, J. Liu, Q. Zhou, Y. Zeng

“…To maximize the application potential of GF-4 data in forest fire monitoring and improve the accuracy of fire detection, this study proposes a novel fire detection method based on spatiotemporal correction of background brightness temperature, tailored to the characteristics of GF-4 PMI data and incorporating a contextual fire detection approach within the infrared spectrum. …”
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Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context by Marcelo Bueno, Carlos Baca García, Nilton Montoya, Pedro Rau, Hildo Loayza

“…Remote sensing is viable source of soil moisture data in instrument-scarce areas. However, space-based soil moisture estimates lack suitability for daily and high-resolution agricultural, hydrological, and environmental applications. …”
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The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study by Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

“…The CDSS refers to global CVD assessment indicators to design quality control strategies and an intelligent treatment plan recommendation engine map, establishing a big data analysis platform to achieve multidimensional, visualized data statistics for management decision support. …”
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New approaches to quantifying early disorders and perfusion inhomogeneity of the myocardium according to the data of single-photon emission computed tomography by A. A. Ansheles, L. A. Martirosyan, I. V. Sergienko, V. B. Sergienko

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Efficiency of drug therapy for coxitis in patients with ankylosing spondylitis according to the data of a 12-month prospective follow-up by A. V. Petrov, V. A. Beloglazov, Yu. O. Shevnina, A. A. Petrov

“…In Group 2, 12-month SSZ use led to a reduction in median pain intensity during HJ movements on a visual analog scale (VAS) from 26.1 [13.9; 42.7] to 69.3 [56.8; 79.3] mm (p&lt;0.05), CRP levels from 4.4 [1.5; 6.9] to 15.2 [8.3; 21.8] mg/l (p&lt;0.05), and synovial membrane thickness from 6.7 [5.8; 8.5] to 9.6 [7.9; 11.8] mm (p&lt;0.05) compared to the basic data. …”
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Comparison of the efficacy and safety of various anti-inflammatory drugs in urate-lowering therapy initiation in patients with gout (preliminary data) by M. N. Chikina, M. S. Eliseev, O. V. Zhelyabina

“…Non-steroidal anti-inflammatory drugs (NSAIDs), colchicine and glucocorticoids (GC) are used to prevent arthritis attacks in gout, but data on their comparative effectiveness is lacking.Objective: to compare the efficacy and safety of various anti-inflammatory drugs at the start of treatment in patients with gout.Patients and methods. …”
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A Reconstruction of the Shrine of the Prophet Nahum: An Analysis of 3D Documentation Methods and Data Transfer Technology for Virtual and Augmented Realities by Karel Pavelka, Karel Pavelka, Lukáš Běloch

“…Despite the significantly improved performance of the new UE 5 version, the data for conversion to VR and AR needs to be decimated to reduce the amount—in our case, this was by up to 90%. …”
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Real‐world evidence in the cloud: Tutorial on developing an end‐to‐end data and analytics pipeline using Amazon Web Services resources by Wes Anderson, Roopal Bhatnagar, Keith Scollick, Marco Schito, Ramona Walls, Jagdeep T. Podichetty

“…The pipeline presented here includes four major components, including data ingestion, transformation, visualization, and analytics, each supported by a suite of Amazon Web Services (AWS) tools. …”
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Brainbuilder: a software pipeline for 3D reconstruction of cortical maps from multi-modal 2D data sets by Thomas Funck, Konrad Wagstyl, Claude Lepage, Mona Omidyeganeh, Paule-Joanne Toussaint, Ting Xu, Katrin Amunts, Alexander Thiel, Nicola Palomero-Gallagher, Alan C. Evans

“…Here we introduce a method and software package called BrainBuilder for reconstructing 3-dimensional cortical maps from data sets of 2-dimensional post-mortem serial brain sections processed for the visualization of multiple different biological features. …”
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Intelligent Fault Warning Method for Wind Turbine Gear Transmission System Driven by Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun

“…To meet the demands for real-time and accurate fault warning of wind turbine gear transmission systems, this study proposes an innovative intelligent warning method based on the integration of digital twin and multi-source data fusion. A digital twin system architecture is developed, comprising a high-precision geometric model and a dynamic mechanism model, enabling real-time interaction and data fusion between the physical transmission system and its virtual model. …”
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Integrating Photogrammetric 3D City Models and CityGML Data into Augmented Reality for Enhanced Urban Planning and Cadastre Management by S. Yalcin, B. Erkek, E. Ayyildiz

“…This paper presents a mobile AR application, developed with Google&rsquo;s ARCore, that displays CityGML-based building data at street level, allowing for real-time visualization and interaction. …”
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A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms by Naglaa Abdelhady, Ibrahim E. Elsemman, Taysir Hassan A. Soliman

“…The system is available as a web-based application that aims to provide a real-time visualization of people’s emotions during a crisis.…”
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River Water Quality Monitoring Through IoT Enabled Technologies by Rita de Fátima Muniz, Badria Almaz Ali Yousif, Azadeh Shemshad

“…Other than that, the hardware of the system, data visualization, software, we automate the process of monitoring This water quality monitoring system has been the major issue and can be use the digital, intelligent, and effectively gives the quality of river water.…”
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GeneSurfer enables transcriptome-wide exploration and annotation of gene co-expression modules in 3D spatial transcriptomics data by Chang Li, Julian Thijssen, Thomas Kroes, Ximaine van der Burg, Louise van der Weerd, Thomas Höllt, Boudewijn Lelieveldt

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The Proposal and Validation of a Distributed Real-Time Data Management Framework Based on Edge Computing with OPC Unified Architecture and Kafka by Daixing Lu, Kun Wang, Yubo Wang, Ye Shen

“…At the edge layer, the OPC UA (OPC Unified Architecture) protocol is used to realize the standardized collection of heterogeneous equipment data, and a lightweight edge-computing algorithm is designed to complete the analysis and processing of data so as to realize a visualization of the manufacturing process and the inventory in a production workshop. …”
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IoT-Based LPG Level Sensor for Domestic Stationary Tanks with Data Sharing to a Filling Plant to Optimize Distribution Routes by Roberto Morales-Caporal, Rodolfo Eleazar Pérez-Loaiza, Edmundo Bonilla-Huerta, Julio Hernández-Pérez, José de Jesús Rangel-Magdaleno

“…The IoT-based sensor, in addition to displaying the percentage of the LPG level in the tank to the user through a mobile application (app), has the advantage of simultaneously sharing the acquired data with an LPG filling plant via the Internet. …”
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Research and Prospects of Digital Twin-Based Fault Diagnosis of Electric Machines by Jiaqi Hu, Han Xiao, Zhihao Ye, Ningzhao Luo, Minhao Zhou

“…Firstly, it explains the origin, concept, key technology and application areas of digital twins, compares and analyzes the advantages and disadvantages of digital twin technology and traditional methods in the application of electric motor fault diagnosis, discusses in depth the key technology of digital twins in electric motor fault diagnosis, including data acquisition and processing, digital modeling, data analysis and mining, visualization technology, etc., and enumerates digital twin application examples in the fields of induction motors, permanent magnet synchronous motors, wind turbines and other motor fields. …”
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Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries by Jutarut Chaoraingern, Arjin Numsomran

“…The system collects voltage, discharge time, and capacity measurements through a lightweight data fusion pipeline and leverages the Edge Impulse platform with the EON™Compiler for model optimization. …”
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A Web Geographic Information System to share data and explorative analysis tools: The application to West Nile disease in the Mediterranean basin. by Lara Savini, Susanna Tora, Alessio Di Lorenzo, Daniela Cioci, Federica Monaco, Andrea Polci, Massimiliano Orsini, Paolo Calistri, Annamaria Conte

“…The system collects data through on-line forms and automated procedures and visualizes data as interactive graphs, maps and tables. …”
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