Search Results - data collection and data estimation methodology; computer progress

Mind the Gap: Analyzing the Impact of Data Gap in Millennium Development Goals’ (MDGs) Indicators on the Progress toward MDGs by Jacob, Arun

“…•The paper analyzes data gaps in the MDG performance monitoring.•Paper finds that higher data gaps reduced the probability of MDG success…”
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Progress in the R ecosystem for representing and handling spatial data by Bivand, Roger S.

“… Springer, New York, 2013), it is important to present the progress now occurring in representation of spatial data, and possible consequences for spatial data handling and the statistical analysis of spatial data…”
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Data science for measuring regional competitiveness by Alaimo, Leonardo S., Annoni, Paola, D’Urso, Pierpaolo, De Giovanni, Livia

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The UK Administrative Data Research Network: Its Genesis, Progress, and Future by ELIAS, PETER

“…This article describes the ways in which UK administrative data are becoming more widely available for research…”
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Human pose estimation using deep learning: review, methodologies, progress and future research directions by Kumar, Pranjal, Chauhan, Siddhartha, Awasthi, Lalit Kumar

“… This review focuses on the key aspects of deep learning in the development of both 2D & 3D HPE. It provides detailed information on the variety of databases, performance metrics and human body models incorporated for implementing HPE methodologies…”
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A Review of Power System False Data Attack Detection Technology Based on Big Data by Chang, Zhengwei, Wu, Jie, Liang, Huihui, Wang, Yong, Wang, Yanfeng, Xiong, Xingzhong

“… It comprehensively summarizes the attack detection technologies used in the four key stages of power big data, including state estimation…”
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Big Data and Official Statistics by Abraham, Katharine G.

“… Drawing primarily on the U.S. experience, the paper considers the challenges to incorporating big data into the ongoing production of official economic statistics and provides examples of progress towards that goal to date…”
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RGB image-based method for phenotyping rust disease progress in pea leaves using R by Osuna-Caballero, Salvador, Olivoto, Tiago, Jiménez-Vaquero, Manuel A., Rubiales, Diego, Rispail, Nicolas

“… This study aimed to develop an automated image analysis pipeline for accurately calculating rust disease progression parameters under controlled conditions, ensuring reliable data collection…”
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Measuring the Statistical Capacity of Nations by Cameron, Grant J., Dang, Hai‐Anh H., Dinc, Mustafa, Foster, James, Lokshin, Michael M.

“…‐quality and internationally comparable data. This paper reviews measurement methodologies, posits desired attributes, and presents theoretical and empirical frameworks…”
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Small data challenges for intelligent prognostics and health management: a review by Li, Chuanjiang, Li, Shaobo, Feng, Yixiong, Gryllias, Konstantinos, Gu, Fengshou, Pecht, Michael

“… significant progress driven by big data and deep learning techniques in recent years. However, complex working conditions and high-cost data collection inherent in real-world scenarios pose small-data challenges for the application of these methods…”
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Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel by Wong, Yong Jie, Arumugasamy, Senthil Kumar, Chung, Chang Han, Selvarajoo, Anurita, Sethu, Vasanthi

“…Presence of copper within water bodies deteriorates human health and degrades natural environment. This heavy metal in water is treated using a promising…”
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Labor demand research: Toward a better match between better theory and better data by Addison, John T., Portugal, Pedro, Varejão, José

“…At first blush, most advances in labor demand were achieved by the late 1980s. Since then progress might appear to have stalled…”
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Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data—A Review of Recent Developments and Methodology by Shi, Hua, Xian, George, Auch, Roger, Gallo, Kevin, Zhou, Qiang

“… (UHIRIP) with remotely sensed thermal data tables. We present a comprehensive review of some important aspects of UHI and UHIRIP studies that use remotely sensed thermal data, including concepts, datasets, methodologies, and applications…”
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Using Data to More Rapidly Address Difficult U.S. Social Problems by LIEBMAN, JEFFREY B.

“…This article argues that the evidence-based-policy movement needs to supplement its current emphasis on program evaluations with an approach that uses data at a much higher frequency to improve…”
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Leaving No One Behind under the Post-2015 Framework: Incentivizing equitable progress through data disaggregation and interim targets by Kite, Grace, Manuel Roche, José, Wise, Lisa

“… that ‘No One is Left Behind’. If this consensus is to be converted to commitments and then action, disaggregated data on development outcomes will have an important role to play in monitoring and target setting…”
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Data platform guidelines and prototype for microgrids and energy access: matching demand profiles and socio-economic data to foster project development by Fioriti, Davide, Stevanato, Nicolo, Ducange, Pietro, Marcelloni, Francesco, Colombo, Emanuela, Poli, Davide

“…Energy Access is a pivotal need for socio-economic growth. Proven to be a key enabler of development and progress, access to electricity has been prioritized…”
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Workshop 5 report: Harnessing big data by Sánchez-Martínez, Gabriel E., Munizaga, Marcela

“… This report documents their discussion. The key conclusion of the workshop is that, although much progress has been made in utilizing big data to improve transportation planning and operations, much remains to be done, both in terms…”
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Uruguay: Report on the Observance of Standards and Codes-Data Module by International Monetary Fund. Statistics Dept

“…OVERALL ASSESSMENT This Report on the Observance of Standards and Codes (ROSC)-Data Module is a reassessment of the exercise conducted in 1999-mid-2000…”
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Balanced estimation for high-dimensional measurement error models by Zheng, Zemin, Li, Yang, Yu, Chongxiu, Li, Gaorong

“… Despite the rapid progress of model selection with contaminated covariates in high dimensions, methodology that enjoys virtues in all aspects of prediction, variable selection, and computation…”
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Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a ‘burst’ analysis-based approach by Dernis, Hélène, Squicciarini, Mariagrazia, de Pinho, Roberto

“…’ methodology on data from scientific publications and patents, this work sheds light on: the structure, articulation and relevance of the most…”
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