Research on Reliability Testing Technology of Rail Transit Software by Ying YANG, Zhifei ZHOU, Buqi LIU, Weiqi JIAO

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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…In view of these challenges, this paper proposes a shape and property integrated gearbox monitoring system based on digital twin technology and artificial intelligence, which aims to realize real-time fault diagnosis, performance prediction, and the dynamic visualization of gear through virtual real mapping and data interaction, and lays the foundation for the follow-up predictive maintenance application. …”
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Database anomaly detection model based on mining object-condition association rules by DAI Hua, QIN Xiao-lin, LIU Liang, BAI Chuan-jie

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On a von Mises-type circular distribution by FREDY CASTELLARES, ARTUR J. LEMONTE

“…We also derive the expected Fisher information matrix for the model parameters. An empirical application to a real data set is considered to illustrate the new circular distribution in practice.…”
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University proceedings. Volga region. Technical sciences by N.Yu. Bumazhkina

“…At the same time, to support cross-platform service software of a virtualized data center, the possibility of compatibility with application programming interfaces of existing distributed monitoring systems such as Zabbix, NetCrunch, OpenNMS, etc. is considered. …”

Construction of Information Security System of Power Generation Enterprise by Ying Yu

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Smart factory solutions based on cellular industrial Internet of things by Shulei GONG, Kun LI, En TONG, Hongde GUO, Yi ZHOU, Ye WANG, Fei DING

“…So far,the overall informatization level of manufacturing industry has been uneven,and there are many problems such as low intelligence and poor connectivity.First of all,with the features like low power consumption of the Internet of things,the sensor devices can be deployed flexibly to realize real-time collection and transmission of production data.Then the manufacturing execution system based on the cellular industrial Internet of things had been built,and realized the closed-loop processing of human,machine,material,method and surrounding.The industrial big data of the whole production process was modeled,analyzed and processed.The operation and maintenance cost was reduced,and the production efficiency and product quality were improved.Finally,the overall efficiency of the application was evaluated which showed that the factory capacity was improved effectively.…”
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Translational Crisis in Biomedical Research: Analysis of Causes and Ways to Overcome It by M. M. Galagudza

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Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

“…Applying data-driven fault diagnosis models to data center air conditioning systems can significantly improve operational reliability. …”
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Quantum inspired elephant swarm intelligence for frequent item-sets mining by Hadjer Moulai

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Remote sensing of land cover change dynamics in mountainous catchments and semi-arid environments: a review by Anothando Yono, Retang Anna Mokua, Timothy Dube

“…This study reviews studies using the application of remotely sensed data and spatially modified data, highlighting advancements in LULC assessments through GIS integration and predictive modelling. …”
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Experimental Test on Server Power Consumption Based on Performance Testing Software by Xu Xin, Bai Xuelian, Jin Chaoqiang

“…Determining the power consumption of data center servers is the basis of data center energy saving and environmental control. …”
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Módulo de Dados Dinâmicos - MDD: o emprego prático da inteligência territorial by Rodrigo de Freitas Amorim, Thiago França Simonetti

“…Considering the multi-scale nature of the present proposal, it was necessary to address different units, with a focus on the Semiarid region, where there is greater water insecurity. The data was integrated through the use of API - Application Programming Interface, a set of rules and protocols that allows different systems to interact and communicate with each other in a standardized way. …”
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Reservoir evaluation using petrophysics informed machine learning: A case study by Rongbo Shao, Hua Wang, Lizhi Xiao

“…These findings indicate that it is crucial to integrate data-driven machine learning with petrophysical mechanism for the application of artificial intelligence in oil and gas exploration.…”
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An Interface for Linking Ancient Languages by Mallia Michele, Bandini Michela, Quochi Valeria

“…., for creating attestations by linking lexical forms to their variants in relevant inscriptions, as well as for linking lexical data to external independent LOD datasets available on a remote endpoint. …”
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Monitoring Quality of Care in the WHO Africa Region-A study design for measurement and tracking, towards UHC attainment by Regina Titi-Ofei, Doris Osei-Afriyie, Humphrey Karamagi

“…We present a study protocol for deriving a quality of care index, hinged on indicators and data elements currently monitored through routine information systems and institutionalized facility assessments in the World Health Organization Africa Region. …”
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End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines by Ouiam Khattach, Omar Moussaoui, Mohammed Hassine

“…The rapid proliferation of Internet of Things (IoT) devices across industries has created a need for robust, scalable, and real-time data processing architectures capable of supporting intelligent analytics and predictive maintenance. …”
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Sharing Scheme of Electronic Medical Records for Air-conditioning Products Based on Blockchain Technology by Xu Chang, Chen Huanxin, Li Zhengfei, Han Linzhi, Zhu Bo, Gong Qijian

“…With the rapid development of big data and intelligence, data have played a decisive role in studies on air conditioning, and possession of good data management models appears to be extremely important. …”
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Post-marketing safety surveillance of vortioxetine hydrobromide: a pharmacovigilance study leveraging FAERS database by Ying Zhang, Shengzhu Sun, Yunhong Ning

“…BackgroundVortioxetine hydrobromide is a widely prescribed medication for the treatment of major depressive disorder (MDD), primarily exerting its antidepressant effects by inhibiting the reuptake of serotonin (5-HT).The objective of this study was to investigate adverse events (AEs) associated with vortioxetine hydrobromide through data mining in the FDA Adverse Event Reporting System (FAERS) to enhance clinical safety.MethodsWe collected FAERS data from Q3 2013 to Q1 2024 for data cleansing. …”
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EFSA statement on the requirements for whole genome sequence analysis of microorganisms intentionally used in the food chain by European Food Safety Authority (EFSA)

“…This document provides recommendations to applicants on how to describe and report the results of WGS analyses in the context of an application for market authorisation of a regulated product. …”
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