Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables by Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio

“…Measurement patterns, including missing data rates and measurement frequencies, were derived from EHR data and analyzed. …”
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An Exploration of Consistency Learning with Data Augmentation by Connor Shorten, Taghi M. Khoshgoftaar

“…Deep Learning has achieved remarkable success with Supervised Learning. …”
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Creation of problem-oriented data bases by Zenona Atkočiūnienė, Romualdas Broniukaitis

“…The fundamentally new approach to data organization lies in the creation of data banks (DB) representing problem-oriented systems for collective use. …”
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Who’s in? Lifestyle data and geographical research by Richard Harris

“…The level of population coverage achieved by the survey varies geographically. Hence, whilst lifestyles offer rich sources of micro-level data to cross-validate or supplement Census-based analysis, greater scientific credential remains as a pre-cursor to academic acceptance.…”
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Differentiated and negotiable mechanism for data communication by Wenlong KOU, Fenghua LI, Xiuze DONG, Xiaogang CAO, Kui GENG, Qing LI

“…In view of the massive and differentiated computing units and terminal devices in the cloud environment and the Internet of things, the differences in hardware resources and computing capabilities posed new challenges to high reliability and high performance data communication, a data communication mechanism supporting differentiation and negotiation was proposed.A parameters negotiation method was proposed, and parameters were negotiated by the sender according to the difference of the receiver capability to achieve differentiated and negotiable data communication.A retransmission feedback mechanism was designed, and the transmission rate was dynamically adjusted and the data was retransmitted based on the data reception feedback of the receiver by the sender to improve communication efficiency and reliability.The experimental results show that the proposed mechanism can perform dynamic adaptive, efficient and parallel communication according to the difference of the receiver capability.…”
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Alternative data for restaurant bankruptcy prediction by Pascal Kündig

“…We find that alternative consumer data is relevant for restaurant bankruptcy prediction and the highest prediction accuracy is achieved when alternative data and traditional business data are combined.…”
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Data Science in the Management of Healthcare Organizations by Pedro Faria, Victor Alves, José Neves, Henrique Vicente

“…This study emphasizes the role of Data Science, with the incorporation of Artificial Intelligence tools, in enabling data-driven and interconnected management strategies. …”
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DATA CENTER REMODELING FOR THE INTERNET OF THINGS by Cristian IVĂNUŞ

“…The objective is to obtain an optimum in terms of occupied space, most efficient power consumption and most effective cooling in order to achieve a sustainable long term data center operation. …”
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Methodological Aspects of Data Management at the Enterprise by E. N. Sheremetyeva, A. K. Adgizalova, Yu. G. Popov

“…Companies striving not only to achieve their business objectives but also to ensure long-term, sustainable market performance face the urgent need to develop tools and workflows for managing data of varying quality and formats. …”
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Seismica's Data and Code Policy in Action by Sam Teplitzky

“…Notable achievements include the consistent use of Data and Code Availability Statements (DCAS), which ensure transparency and reproducibility. …”
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DATA MODELS FOR INCIDENT RESPONSE AUTOMATIZATION by Aleksandr V. Kuznetcov

“…As a development of this research, the author is developing a physical data model and its testing.…”
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Developing Digital Services in Economy of Data by E. G. Neofitu

“…Attention was focused on analysis of factors promoting the growth of digital services, such as a rise in the number of Internet users, energetic introduction of automated state services and popularization of AI. The achievements of the leading companies of the sector, such ‘Yandex’, ‘VKontakte’, ‘Gosuslugi’, ‘Ozon’ and ‘Sberbank’ were discussed, as well as the development of cloud technologies, big data and AI. …”
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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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A Data-Driven Approach to Tourism Demand Forecasting: Integrating Web Search Data into a SARIMAX Model by Geun-Cheol Lee

“…When forecasting the 24-month period of 2023 and 2024, the proposed model achieves the lowest Mean Absolute Percentage Error (MAPE) of 7.32%.…”
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Data on zinc chelates of glycine as a growth and survival enhancer in hybrid grouper and whiteleg shrimpMendeley Data by Sarmila Muthukrishnan, Donny Kai Hee Tey, Wen Chen Wee

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Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data by Trushal Sardhara, Christian J Cyron, Martin Ritter, Roland C Aydin

“…Focused ion beam (FIB) tomography is a preferred method for creating 3D image stacks of micrometer-sized material volumes at nanometer resolution. To achieve valid 3D reconstructions from FIB tomography data, semantic segmentation of these images using machine learning-based methods is often beneficial. …”
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A novel method for grading urban socio-economic development levels based on NTL data and Landsat data by Xiang Hua, Jiehai Cheng, Yuke Meng, Rongji Luo

“…Traditional methods predominantly dependent on socio-economic statistics, frequently resulted in exorbitant data collection costs, significant time lags, and incomplete spatial coverage. …”
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Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…Our detailed evaluation demonstrates significant speedup achieved by ti $$k$$ -NN over the naive, $$k$$ -d tree, $$ball$$ -tree based $$k$$ -NN and other state-of-the-art approximate $$k$$ -NN search approaches in high dimensional data.…”
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Multiple channels, low-cost, and dual data storage data logger for building a soil temperature network by Gustavo N. Santiago, Ignacio Ciampitti

“…This study aims to develop a network of open-source, low-cost data loggers with multiple customizable channels for local and remote temperature data storage. …”
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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

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