Possibility of using remote sensing data for glaciological calculations and monitoring by V. G. Konovalov, V. A. Rudakov

“…Altitude and areal characteristics of glaciation of the Earth, as well as annual ELA and AAR values for a limited number of glaciers can be found in references [10, 15, 16, 18, 29]. According to these data, the analysis of the relations between ELA, AAR, annual mass balance of glaciers and its components was performed for use in the remote monitoring of glaciation. …”
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Dynamic reconstruction of electroencephalogram data using RBF neural networks by Xuan Wang, Congcong Du, Xianjin Ke, Jian Zhang, Zheng Zheng, Yayan Yue, Ming Yu

“…Machine has shown great promise in addressing these limitations. …”
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Using gamification to engage citizens in micro-mobility data sharing by Anu Masso, Anniki Puura, Jevgenia Gerassimenko, Olle Järv

“…While significant progress has been made in the technical interoperability and legislative frameworks for data spaces, critical gaps persist in the bottom-up processes, particularly in fostering social collaboration and citizen-driven initiatives. …”
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Using proximal sensor data for soil salinity management and mapping by Yan GUO, Yin ZHOU, Lian-qing ZHOU, Ting LIU, Lai-gang WANG, Yong-zheng CHENG, Jia HE, Guo-qing ZHENG

“…Afterwards, fuzzy-k means algorithm was used to divide the site-specific management zones within the time series apparent soil electrical conductivity (ECa) data and the spatial correlations of variation. …”
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An intelligent identification for pest and disease detection in wheat leaf based on environmental data using multimodal data fusion by SHENG-HE XU, Sai Wang

“…Third, the data fusion process integrates image data for further analysis. …”
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Data-Driven Prediction System of Dynamic People-Flow in Large Urban Network Using Cellular Probe Data by Xiaoxuan Chen, Xia Wan, Fan Ding, Qing Li, Charlie McCarthy, Yang Cheng, Bin Ran

“…Cellular probe data, which is collected by cellular network operators, has emerged as a critical data source for human-trace inference in large-scale urban areas. …”
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Vehicle miles traveled and the built environment: New evidence from panel data by Keith Ihlanfeldt

“…While this issue has been extensively researched, due to the heavy reliance on cross-sectional data, there remains uncertainty regarding how effective local land-use planning and regulation might be in reducing VMT. …”
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Machine learning and Fuzzy logic fusion approach for osteoporosis risk prediction by Rabia Khushal, Dr. Ubaida Fatima

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Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records by L. Mazzeo, F. Corso, P. Baili, F. Scotti, V. Torri, M. Ganzinelli, V. Mišković, R. Leporati, L. Provenzano, A. Spagnoletti, C. Silvestri, C. Giani, C. Cavalli, R.M. di Mauro, M. Meazza Prina, C. Proto, M. Brambilla, M. Occhipinti, S. Manglaviti, T. Beninato, D. Miliziano, A.D. Dumitrascu, G. Di Liberti, T.S. Cassano, F.G.M. de Braud, Giuseppe Lo Russo, A. Cappozzo, A.M. Paganoni, F. Ieva, A. Prelaj

“…In multivariate analysis, osimertinib was an independent protective factor regardless of bone and brain metastases and local radiotherapy. mOS was 27 months (95% CI 21.4-39.5 months) for osimertinib versus 20.2 months (95% CI 17.6-23.1 months) for non-osimertinib. Conclusions: Data analytics frameworks are useful tools to integrate RWE in cancer research and data-driven models are suitable to process large amounts of RWD. …”
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Data-Driven Green Transformation: How Public Data Openness Fuels Urban Land Use Eco-Efficiency in Chinese Cities by Yongqiang Li, Bowen Li, Jiani Chen, Yue Zhang, Yian Hu, Chengming Li

“…This paper examines the potential of public data in enhancing ULUEE, focusing on public data openness (PDO), using a sample of 294 prefecture-level cities spanning from 2014 to 2022. …”
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A secure data transmission and efficient data balancing approach for 5G‐based IoT data using UUDIS‐ECC and LSRHS‐CNN algorithms by Kusum Yadav, Anurag Jain, Yasser Alharbi, Ali Alferaidi, Lulwah M. Alkwai, Nada Mohamed Osman Sid Ahmed, Sawsan Ali Saad Hamad

“…The 5G IoT data is balanced by using the LSRHS‐CNN algorithm during DT. …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…On the other hand, SemantiPack performs compression at the data field level in RWD using RWD Profile to achieve higher compression ratios. …”
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Early detection of mental health disorders using machine learning models using behavioral and voice data analysis by Sunil Kumar Sharma, Ahmed Ibrahim Alutaibi, Ahmad Raza Khan, Ghanshyam G. Tejani, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

“…For this reason, this study presents a novel framework for the early detection of mental illness disorders using a multi-modal approach combining speech and behavioral data. …”
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Disaggregate models with aggregate data: Two UrbanSim applications by Zachary Patterson, Marko Kryvobokov, Fabrice Marchal, Michel Bierlaire

“…UrbanSim has significant data requirements. In particular, it requires disaggregate data (traditionally at the 150 meter by 150 meter gridcell level) for employment, households, and buildings. …”
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A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small- to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities by Paulina Grigusova, Christian Beilschmidt, Maik Dobbermann, Johannes Drönner, Michael Mattig, Pablo Sanchez, Nina Farwig, Jörg Bendix

“…Over almost 20 years, a data storage, analysis, and project administration engine (TMFdw) has been continuously developed in a series of several consecutive interdisciplinary research projects on functional biodiversity of the southern Andes of Ecuador. …”
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A Study on the European Union's Secondary Use System of Health Data and Its Insights by Yao PAN

“…The European Union has been exploring the establishment of a system for the secondary use of health data, to maximize the value of health data applications and alleviate concerns of data subjects about potential infringement of their rights. …”
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Investigating the Predictive Performance of Process Data and Result Data in Complex Problem Solving Using the Conditional Gradient Boosting Algorithm by Fatma Nur Aydin, Kubra Atalay Kabasakal, Ismail Dilek

“…This study aims to examine the predictive performance of process data and result data in complex problem-solving skills using the conditional gradient boosting algorithm. …”
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Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review. by Fadzai Chikwava, Reinie Cordier, Anna Ferrante, Melissa O'Donnell, Renée Speyer, Lauren Parsons

“…<h4>Introduction</h4>Over the past decade there has been a marked growth in the use of linked population administrative data for child protection research. …”
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Investigating Parkinson’s disease risk across farming activities using data mining and large-scale administrative health data by Pascal Petit, François Berger, Vincent Bonneterre, Nicolas Vuillerme

“…A secondary analysis of real-world administrative insurance claim data and electronic health/medical records (TRACTOR project) was conducted to estimate PD risk for 26 farming activities using data mining. …”
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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

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