Results 31 to 40 of about 4,092,060 (167)
Trip generation: Introduction to the special section
Journal of Transport and Land Use, 2015 This paper introduces a set of articles about how transportation planners need better tools for estimating trip generation, and to develop better tools we need more data collection, especially methods that capture passenger trips by personal vehicles ...
Susan L Handy
doaj +1 more source
Designing Data: Proactive Data Collection and Iteration for Machine Learning [PDF]
arXiv, 2023 Lack of diversity in data collection has caused significant failures in machine learning (ML) applications. While ML developers perform post-collection interventions, these are time intensive and rarely comprehensive. Thus, new methods to track & manage data collection, iteration, and model training are necessary for evaluating whether datasets reflect
arxiv
Computational and Structural Biotechnology Journal, 2021 Today machine learning methods are commonly deployed for bacterial species identification using MALDI-TOF mass spectrometry data. However, most of the studies reported in literature only consider very traditional machine learning methods on small ...
Thomas Mortier +3 more
doaj
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning [PDF]
, 2019 A growing body of work shows that many problems in fairness, accountability, transparency, and ethics in machine learning systems are rooted in decisions surrounding the data collection and annotation process. In spite of its fundamental nature however, data collection remains an overlooked part of the machine learning (ML) pipeline.
arxiv +1 more source
A use of data mining methods in the Czech Republic and in the world
Trendy v podnikání, 2018 The data mining or a knowledge discovery from data becomes more significant these days. Our world faces an enormous amount of data which are produced every day.
Jan Brčák, Mikuláš Gangur
doaj +1 more source
Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
Population Health Metrics, 2021 Background Electronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied.
Sanne M. Thysen +17 more
doaj +1 more source
Efficient Mobile Data Collection with Mobile Collect [PDF]
2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems, 2012 The main task of most deployed wireless sensor networks is data collection. While a number of solutions have been designed for static networks, there are currently no widely used data collection algorithms for mobile sensor networks. In this paper, we concentrate on scenarios where many nodes, both data sources and sinks, move along a certain track in ...
Hassanzadeh, Navid +4 more
openaire +4 more sources
Metabolic and transcriptional analysis of tuber expansion in Curcuma kwangsiensis
Scientific ReportsThe tubers of Curcuma kwangsiensis are regarded as an important medicinal material in China. In C. kwangsiensis cultivation, tuber expansion is key to yield and quality, but the regulatory mechanisms are not well understood.
Yunyi Zhou +7 more
doaj +1 more source
, 2023 Book- Researchopedia ISBN: 978-93-93166-28-9 For verification of this chapter, please visit on http://www.socialresearchfoundation.com/books.php#8 Publisher -Social Research Foundation, Kanpur (SRF International)
openaire +2 more sources
Data Gathering from Path Constrained Mobile Sensors Using Data MULE [PDF]
, 2016 In Wireless Sensor Network (WSN) sensor nodes are deployed to sense useful data from environment. Sensors are energy-constrained devices. To prolong the sensor network lifetime, now a days mobile robots (sometimes refer as data sink, data mules, or data collectors) are used for collecting the sensed data from the sensors.
arxiv +1 more source