Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

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Using household death questions from surveys to assess adult mortality in periods of health crisis: An application for Peru, 2018–2022 by José Henrique Costa Monteiro da Silva, Helena Cruz Castanheira

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Patient-reported outcomes: an overview of applications by S. M. Mukhina, E. V. Orlova

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Application Analysis of Space-Based Relay in Land Resources Satellite Image Acquisition by Huibing WANG, Zuoya ZHENG, Sida OUYANG, Yue ZHANG, Chao YANG, Yu HUANG

“…With the analysis of the main factors aff ecting the image acquisition of land remote sensing satellite, the satellite image data transmission application mode based on space-based relay was proposed to solve the bottleneck problem of satellite-ground receiving.Through simulation analysis and quantitative calculation, the application eff ect of relay transmission was calculated.The results showed that relay transmission could improved the visible time of satellite data receiving, thus greatly improved the total amount of image acquisition, and eff ectived perform the satellite operation effi ciency.…”
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Predictive Maintenance and Predictive Repair of Road Vehicles—Opportunities, Limitations and Practical Applications by Jozsef Nagy, Istvan Lakatos

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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Effectively extracting and analyzing hidden information, while understanding temporal variation in hydrological data, remains a challenge. Empirical Mode Decomposition (EMD) has garnered increasing attention due to its ability to analyze non-linear and non-stationary data. …”
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Design and application research on management information system security architecture in digital campus by Xin-zheng LONG, Cheng-jie XING, Rong-bin OUYANG, Qian-yi WANG, Li LI, Yun-feng LIU

“…Aiming at the university management information system security threats and challenges,a security architecture named 1C4GS was proposed.First connotation and function of five important components of 1C4GS was expounded,which named security management center,security communication network,security region boundary,security computing environment and security application.Then we used “basic personal data reporting system” as an example to construct the management information system security arrangement application based on 1C4AS,this arrangement application integrated a variety of security technologies and strategies such as transparent data encryption,user Identify,form edit cache as a whole to,and achieved the management information system’s network security,border security,computing environment security and application security.…”
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Application Analysis of Space-Based Relay in Land Resources Satellite Image Acquisition by Huibing WANG, Zuoya ZHENG, Sida OUYANG, Yue ZHANG, Chao YANG, Yu HUANG

“…With the analysis of the main factors aff ecting the image acquisition of land remote sensing satellite, the satellite image data transmission application mode based on space-based relay was proposed to solve the bottleneck problem of satellite-ground receiving.Through simulation analysis and quantitative calculation, the application eff ect of relay transmission was calculated.The results showed that relay transmission could improved the visible time of satellite data receiving, thus greatly improved the total amount of image acquisition, and eff ectived perform the satellite operation effi ciency.…”
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Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…This work bridges the gap between data-driven modeling and physical understanding of WDE, providing a valuable tool for engineers to optimize material selection and maintenance strategies in erosion-prone applications.…”
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INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA by M. Fathurahman

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Enhancing mosquito classification through self-supervised learning by Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin

Subjects: “…Self-distillation with unlabeled data…”
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Progress and Prospect for Machine Learning Applied in NMR Logging by LUO Gang, LUO Sihui, XIAO Lizhi, FU Shaoqing, ZHANG Jiawei, SHAO Rongbo

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Digital-Intellectualized Upgrade and Clinical Application of National Rare Diseases Registry System of China by GUO Jian, JIN Ye, LIU Peng, ZHANG Dingding, CHEN Limeng, ZHU Yicheng, ZHANG Shuyang, on behalf of the administrative group of National Rare Diseases Registry System of China

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SEAHORS: Spatial Exploration of ArcHaeological Objects in R Shiny by Royer, Aurélien, Discamps, Emmanuel, Plutniak, Sébastien, Thomas, Marc

Subjects: “…archaeological methods; data visualization; spatial analysis; R shiny application; post-excavation stratigraphies…”
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Pharmacogenomics and Opioid Analgesics: Clinical Implications by Eugenia Yiannakopoulou

“…Prospective studies are needed to further elucidate the clinical implications of available data as well as to define the guidelines for the clinical application of pharmacogenomic data. …”
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Application of Artificial Intelligence to Support Design and Analysis of Steel Structures by Sina Sarfarazi, Ida Mascolo, Mariano Modano, Federico Guarracino

“…The review explores challenges such as data limitations, model generalization, engineering reliability, and the need for physics-informed learning while examining AI’s role in bridging research and real-world structural applications. …”
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Sectoring Approach for Performance Enhancement of MTT and Its Application on JPDA Algorithm by Mustafa Latif Cobankaya, Alaa B. Elrouby

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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…[Result & Conclusion] In the engineering application of Nanning Rail Transit Line 4, this intelligent system promotes three major transformations in the O&M model: from passive response to proactive prevention, from experience-driven to data-driven, and from fragmented management to coordinated optimization. …”
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State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction by Jason Poulos

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