Research on the optimization of environmental governance pathways under the background of ecological environment big data by LI Yiheng, WU Jiahui

“…However, the current application of ecological environment big data in China's environmental governance practice faces practical difficulties: firstly, the lack of legal regulations on data utilization hinders data utilization, leading to difficulties in data retrieval; secondly, the insufficient security technology guarantee for ecological environment big data results in data security risks, such as data distortion and data leakage; thirdly, the inadequate regulatory system for big data algorithms leds to algorithmic discrimination and disrupts China's environmental governance ecosystem. …”
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Using recurrent neural networks and web crawlers to scrape open data from the Internet. by Kanneganti, D.

“…Through the use of an RNN and focused web crawler, a search algo- rithm was developed that could scrape 1000 web pages per minute and identify open datasets at an 85% accuracy, both metrics suggesting that the algorithm is a significant improvement over existing open data collection methods. For future research into this field of study, this work suggests that the application of automated open data collection and the implications of the proliferation of open data portals be studied.…”
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The prevalence of excess weight between adolescents of private schools from Fortaleza: preliminary data by Márcio Flávio Moura de Araújo, Hérica Cristina Alves de Vasconcelos, Marta Maria Coelho Damasceno, Lívia Silva de Almeida, Polyana Carina Viana da Silva, Robeto Wagner Júnior Freire de Freitas

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An Energy-Efficient Data Delivery Scheme for Delay-Sensitive Traffic in Wireless Sensor Networks by Harshavardhan Sabbineni, Krishnendu Chakrabarty

“…The proposed method, referred to as SensiQoS, leverages the spatial and temporal correlation between the data generated by events in a sensor network and realizes energy savings through application-specific in-network aggregation of the data. …”
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Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

“…The research method used is descriptive research with a qualitative approach, where data is collected through literature studies and case studies on various quantitative studies. …”
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Estimation and Simultaneous Confidence Bands for Fixed-Effects Panel Data Partially Linear Models by Suigen Yang, Xiujuan Yang, Xuefei Wang

“…In this paper, we study the estimation and simultaneous confidence band (SCB) problems for fixed-effects panel data partially linear models. We remove the fixed effects and then obtain estimators for the parametric and nonparametric components, which do not depend on the fixed effects. …”
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A controllable privacy data transmission mechanism for Internet of things system based on blockchain by ZiXiang Nie, YuanZhenTai Long, SenLin Zhang, YueMing Lu

“…With the in-depth integration of traditional industries and information technology in Internet of things, wireless sensor networks are used more frequently to transmit the data generated from various application scenarios. …”
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DYNAMIC TENSILE TEST AND DATA VERIFICATION METHOD OF AUTOMOTIVE HIGH STRENGTH STEEL PLATE by PAN YuanAn, CAO GuangXiang, FENG YuTao, GAO WenQiang, LI Xin

“…At the same time, the crush test of box-shaped parts was designed to verify the accuracy of dynamic testing data. The results indicated that the measured parameters by using the true stress-true strain data of different strain rates obtained by tensile test were applied to the finite element simulation analysis in order to study the deformation morphology of high strength steel under the crushing states in the application of automotive industry. …”
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Research on the optimization of environmental governance pathways under the background of ecological environment big data by LI Yiheng, WU Jiahui

“…However, the current application of ecological environment big data in China's environmental governance practice faces practical difficulties: firstly, the lack of legal regulations on data utilization hinders data utilization, leading to difficulties in data retrieval; secondly, the insufficient security technology guarantee for ecological environment big data results in data security risks, such as data distortion and data leakage; thirdly, the inadequate regulatory system for big data algorithms leds to algorithmic discrimination and disrupts China's environmental governance ecosystem. …”
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DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA by Hanifa Sepriadi, Atiek Iriany, Solimun Solimun, Adji Achmad Rinaldo Fernandes

“…In the application of SEM to multivariate data, the individuals collected not only come from the same population but also from several groups (clusters). …”
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A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks by Na Fan, Zongtao Duan, Guangyuan Zhu

“…To address this issue, we propose a data dissemination mechanism for vehicular delay-tolerant networks. …”
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Earthwork Traceability Management System Using Compaction History and Dump Truck Sensing Data by Atsushi Takao, Nobuyoshi Yabuki, Yoshikazu Otsuka, Takashi Hirai

“…This system automatically creates traceability data by linking sensing data and data from the compaction management system via an application. …”
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Relationship Between NM Data and Radiation Dose at Aviation Altitudes During GLE Events by N. Larsen, A. Mishev

“…Through the use of a currently expanding library of analyzed GLEs and the application of a newly developed atmospheric radiation model, both of which have been created in‐house, we found a strong statistically significant relationship between real‐time NM data during GLE events and the radiation doses at aviation altitudes. …”
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A water quality prediction model based on neural network at data-scarce sites by Chuxiao Chen, Jinghua Hao

“…The predictive performance of AI models for surface water quality prediction at data-scarce sites remains to be investigated. Therefore, this study proposed a prediction framework at data-scarce water quality sites along Yellow River Basin using neural network model. …”
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River Discharge Derived of Lijiang River Basin Based on Sentinel-1 SAR Data by CHEN Siyu, LI Jiqing, XIE Yutao, TIAN Yu

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Exploring Macro BIM for Cost Prediction: Leveraging Similarity Assessment Methods and Market Data by PACYNO Hanna, JUSZCZYK Michał

“…This article explores the Macro BIM concept, which varies in interpretation according to literature, and its practical application. It discusses using Macro BIM model data alongside market construction data to simulate estimating building construction costs. …”
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Hospital-wide natural language processing summarising the health data of 1 million patients. by Daniel M Bean, Zeljko Kraljevic, Anthony Shek, James Teo, Richard J B Dobson

“…NLP has the potential to transform the health data lifecycle, through large-scale automation of a traditionally manual task.…”
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Data enrichment for semantic segmentation of point clouds for the generation of geometric-semantic road models by David Crampen, Joerg Blankenbach

“…A Digital Twin of a built asset relies on a geometric-semantic as-is model of the area of interest, where an essential step for automated model generation is the semantic segmentation of reality capture data. While most approaches handle data without considering real-world context, our approach leverages existing geospatial data to enrich the data foundation through an adaptive feature extraction workflow. …”
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Predicting financial default risks: A machine learning approach using smartphone data by Shinta Palupi, Gunawan, Ririn Kusdyawati, Richki Hardi, Rana Zabrina

“…Data were collected from 1,000 individuals who had taken personal loans, focusing on key behavioral parameters such as app usage frequency, GPS location data, and communication patterns over a six-month period prior to loan application. …”
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A data-driven approach for online aggregated load modeling through intelligent terminals by Yi Tang, Liangliang Zhu, Jia Ning, Qi Wang

“…In this article, a data-driven online aggregated load modeling approach is proposed systematically. …”
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